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Collection

Anthropic

182 model catalog entries

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Anthropic: Claude Haiku 5.5
AnthropicClaude Haiku 5.5
anthropic/claude-haiku-5.5
2026-10-07text+image+file->textreasoning: max / xhigh / high / medium / low / none
Intelligence index
36.5
Artificial Analysis
Design Arena
1337 Elo · #11
3d · 57.2% wins
Input
$0.10
per 1M tokens
Output
$0.50
per 1M tokens
Cached input
$0.01
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
inspect — the catalog entry
{
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  "canonical_slug": "anthropic/claude-haiku-5.5-20261007",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Haiku 5.5",
  "created": 1791397883,
  "description": "Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...",
  "context_length": 1000000,
  "architecture": {
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      "file"
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    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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    "web_search": "0.01",
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    ]
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  "top_provider": {
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  },
  "per_request_limits": null,
  "supported_parameters": [
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    "max_completion_tokens",
    "max_tokens",
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    "stop",
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    "verbosity"
  ],
  "default_parameters": {},
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-haiku-5.5-20261007/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
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        "category": "3d",
        "elo": 1337,
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        "rank": 22
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        "win_rate": 50.5,
        "rank": 24
      },
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        "win_rate": 51.8,
        "rank": 16
      },
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        "elo": 1319,
        "win_rate": 53.3,
        "rank": 12
      },
      {
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        "elo": 1202,
        "win_rate": 44.1,
        "rank": 28
      },
      {
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        "elo": 1276,
        "win_rate": 50.6,
        "rank": 27
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1261,
        "win_rate": 48.7,
        "rank": 37
      }
    ],
    "artificial_analysis": {
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      "coding_index": null,
      "agentic_index": null
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      "high",
      "medium",
      "low",
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    ],
    "default_effort": "medium"
  }
}
openrouter.ai/anthropic/claude-haiku-5.5
Anthropic: Claude Haiku 5.5 (batch)
AnthropicClaude Haiku 5.5 (batch)
anthropic/claude-haiku-5.5:batch
2026-10-07text+image+file->textreasoning: max / xhigh / high / medium / low / none
Intelligence index
36.5
Artificial Analysis
Design Arena
1337 Elo · #11
3d · 57.2% wins
Input
$0.05
per 1M tokens
Output
$0.25
per 1M tokens
Cached input
$0.01
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
inspect — the catalog entry
{
  "id": "anthropic/claude-haiku-5.5:batch",
  "canonical_slug": "anthropic/claude-haiku-5.5-20261007",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Haiku 5.5 (batch)",
  "created": 1791397883,
  "description": "Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...",
  "context_length": 1000000,
  "architecture": {
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    "input_modalities": [
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      "file"
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    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.00000005",
    "completion": "0.00000025",
    "web_search": "0.01",
    "input_cache_read": "0.000000005",
    "input_cache_write": "0.0000000625",
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  "top_provider": {
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  "per_request_limits": null,
  "supported_parameters": [
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  "default_parameters": {},
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  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-haiku-5.5-20261007/endpoints"
  },
  "endpoints": [
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  ],
  "benchmarks": {
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        "elo": 1337,
        "win_rate": 57.2,
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      },
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        "elo": 1210,
        "win_rate": 51,
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        "elo": 1281,
        "win_rate": 50.5,
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      },
      {
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        "elo": 1289,
        "win_rate": 51.8,
        "rank": 16
      },
      {
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        "elo": 1319,
        "win_rate": 53.3,
        "rank": 12
      },
      {
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        "category": "svg",
        "elo": 1202,
        "win_rate": 44.1,
        "rank": 28
      },
      {
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        "elo": 1276,
        "win_rate": 50.6,
        "rank": 27
      },
      {
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        "category": "website",
        "elo": 1261,
        "win_rate": 48.7,
        "rank": 37
      }
    ],
    "artificial_analysis": {
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      "coding_index": null,
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    }
  },
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    "supported_efforts": [
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      "high",
      "medium",
      "low",
      "none"
    ],
    "default_effort": "medium"
  }
}
openrouter.ai/anthropic/claude-haiku-5.5:batch
Anthropic: Claude Sonnet 5.5
AnthropicClaude Sonnet 5.5
anthropic/claude-sonnet-5.5
2026-09-28text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
54.5
Artificial Analysis
Design Arena
1366 Elo · #2
dataviz · 64.6% wins
Input
$2
per 1M tokens
Output
$10
per 1M tokens
Cached input
$0.10
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
inspect — the catalog entry
{
  "id": "anthropic/claude-sonnet-5.5",
  "canonical_slug": "anthropic/claude-sonnet-5.5-20260928",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Sonnet 5.5",
  "created": 1790618686,
  "description": "Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...",
  "context_length": 1000000,
  "architecture": {
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    "input_modalities": [
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      "image",
      "file"
    ],
    "output_modalities": [
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    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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    "completion": "0.00001",
    "web_search": "0.01",
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    "input_cache_write": "0.0000025",
    "input_cache_write_1h": "0.000004"
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  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 128000,
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  },
  "per_request_limits": null,
  "supported_parameters": [
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    "max_completion_tokens",
    "max_tokens",
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  "default_parameters": {},
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-sonnet-5.5-20260928/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
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  "benchmarks": {
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      {
        "arena": "agents",
        "category": "blender3d",
        "elo": 1261,
        "win_rate": 64.4,
        "rank": 4
      },
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        "category": "mobileapps",
        "elo": 1268,
        "win_rate": 57.9,
        "rank": 4
      },
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        "category": "pdf",
        "elo": 1264,
        "win_rate": 60.5,
        "rank": 7
      },
      {
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        "elo": 1296,
        "win_rate": 53.5,
        "rank": 5
      },
      {
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        "category": "webapps",
        "elo": 1294,
        "win_rate": 60.2,
        "rank": 4
      },
      {
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        "category": "3d",
        "elo": 1399,
        "win_rate": 52,
        "rank": 6
      },
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        "elo": 1351,
        "win_rate": 56.5,
        "rank": 6
      },
      {
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        "category": "dataviz",
        "elo": 1366,
        "win_rate": 64.6,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1407,
        "win_rate": 62,
        "rank": 5
      },
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        "category": "uicomponent",
        "elo": 1376,
        "win_rate": 63.5,
        "rank": 3
      },
      {
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        "category": "website",
        "elo": 1319,
        "win_rate": 54.7,
        "rank": 6
      }
    ],
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      "coding_index": null,
      "agentic_index": null
    }
  },
  "reasoning": {
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    "supported_efforts": [
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      "xhigh",
      "high",
      "medium",
      "low"
    ],
    "default_effort": "high"
  }
}
openrouter.ai/anthropic/claude-sonnet-5.5
Anthropic: Claude Sonnet 5.5 (batch)
AnthropicClaude Sonnet 5.5 (batch)
anthropic/claude-sonnet-5.5:batch
2026-09-28text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
54.5
Artificial Analysis
Design Arena
1366 Elo · #2
dataviz · 64.6% wins
Input
$1
per 1M tokens
Output
$5
per 1M tokens
Cached input
$0.05
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
inspect — the catalog entry
{
  "id": "anthropic/claude-sonnet-5.5:batch",
  "canonical_slug": "anthropic/claude-sonnet-5.5-20260928",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Sonnet 5.5 (batch)",
  "created": 1790618686,
  "description": "Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...",
  "context_length": 1000000,
  "architecture": {
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    "input_modalities": [
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      "image",
      "file"
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    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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    "completion": "0.000005",
    "web_search": "0.01",
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    "input_cache_write": "0.00000125",
    "input_cache_write_1h": "0.000002"
  },
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  "per_request_limits": null,
  "supported_parameters": [
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  "links": {
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  },
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      {
        "arena": "agents",
        "category": "blender3d",
        "elo": 1261,
        "win_rate": 64.4,
        "rank": 4
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      {
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        "category": "mobileapps",
        "elo": 1268,
        "win_rate": 57.9,
        "rank": 4
      },
      {
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        "category": "pdf",
        "elo": 1264,
        "win_rate": 60.5,
        "rank": 7
      },
      {
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        "category": "spreadsheet",
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        "win_rate": 53.5,
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      },
      {
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        "category": "webapps",
        "elo": 1294,
        "win_rate": 60.2,
        "rank": 4
      },
      {
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        "category": "3d",
        "elo": 1399,
        "win_rate": 52,
        "rank": 6
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1351,
        "win_rate": 56.5,
        "rank": 6
      },
      {
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        "category": "dataviz",
        "elo": 1366,
        "win_rate": 64.6,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1407,
        "win_rate": 62,
        "rank": 5
      },
      {
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        "category": "uicomponent",
        "elo": 1376,
        "win_rate": 63.5,
        "rank": 3
      },
      {
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        "category": "website",
        "elo": 1319,
        "win_rate": 54.7,
        "rank": 6
      }
    ],
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}
openrouter.ai/anthropic/claude-sonnet-5.5:batch
Anthropic: Claude Opus 5.5
AnthropicClaude Opus 5.5
anthropic/claude-opus-5.5
2026-09-22text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
59.1
Artificial Analysis
Design Arena
1348 Elo · #1
codetovideo · 73.2% wins
Input
$4
per 1M tokens
Output
$20
per 1M tokens
Cached input
$0.20
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
inspect — the catalog entry
{
  "id": "anthropic/claude-opus-5.5",
  "canonical_slug": "anthropic/claude-opus-5.5-20260921",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Opus 5.5",
  "created": 1790094732,
  "description": "Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...",
  "context_length": 1000000,
  "architecture": {
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  },
  "pricing": {
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    "completion": "0.00002",
    "web_search": "0.01",
    "input_cache_read": "0.0000002",
    "input_cache_write": "0.000005",
    "input_cache_write_1h": "0.000008"
  },
  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 128000,
    "is_moderated": true
  },
  "per_request_limits": null,
  "supported_parameters": [
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  "default_parameters": {},
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  "links": {
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  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
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        "category": "blender3d",
        "elo": 1274,
        "win_rate": 64.5,
        "rank": 3
      },
      {
        "arena": "agents",
        "category": "codetovideo",
        "elo": 1348,
        "win_rate": 73.2,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1306,
        "win_rate": 62.5,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "pdf",
        "elo": 1320,
        "win_rate": 67.9,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "spreadsheet",
        "elo": 1400,
        "win_rate": 68.7,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1309,
        "win_rate": 60.9,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "3d",
        "elo": 1471,
        "win_rate": 64.7,
        "rank": 1
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1354,
        "win_rate": 64.2,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1384,
        "win_rate": 60.6,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1393,
        "win_rate": 64.3,
        "rank": 1
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1434,
        "win_rate": 64.1,
        "rank": 1
      },
      {
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        "elo": 1375,
        "win_rate": 62.9,
        "rank": 4
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openrouter.ai/anthropic/claude-opus-5.5
Anthropic: Claude Opus 5.5 (batch)
AnthropicClaude Opus 5.5 (batch)
anthropic/claude-opus-5.5:batch
2026-09-22text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
59.1
Artificial Analysis
Design Arena
1348 Elo · #1
codetovideo · 73.2% wins
Input
$2
per 1M tokens
Output
$10
per 1M tokens
Cached input
$0.10
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
inspect — the catalog entry
{
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    "details": "/api/v1/models/anthropic/claude-opus-5.5-20260921/endpoints"
  },
  "endpoints": [
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  "benchmarks": {
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      {
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        "win_rate": 73.2,
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        "elo": 1354,
        "win_rate": 64.2,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1384,
        "win_rate": 60.6,
        "rank": 2
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1393,
        "win_rate": 64.3,
        "rank": 1
      },
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        "arena": "models",
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        "elo": 1434,
        "win_rate": 64.1,
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      },
      {
        "arena": "models",
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        "elo": 1323,
        "win_rate": 52.7,
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        "win_rate": 62.9,
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}
openrouter.ai/anthropic/claude-opus-5.5:batch
Anthropic: Claude Fable 5.1
AnthropicClaude Fable 5.1
anthropic/claude-fable-5.1
2026-09-01text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
50
Artificial Analysis
Coding index
80.7
Artificial Analysis
Agentic index
57.2
Artificial Analysis
Design Arena
1326 Elo · #1
fullstack · 57.2% wins
Input
$10
per 1M tokens
Output
$50
per 1M tokens
Cached input
$0.25
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
inspect — the catalog entry
{
  "id": "anthropic/claude-fable-5.1",
  "canonical_slug": "anthropic/claude-fable-5.1-20260831",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Fable 5.1",
  "created": 1788285838,
  "description": "Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...",
  "context_length": 1000000,
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    "input_cache_write_1h": "0.00002"
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  "top_provider": {
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  "default_parameters": {},
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  "links": {
    "details": "/api/v1/models/anthropic/claude-fable-5.1-20260831/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
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        "category": "fullstack",
        "elo": 1326,
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        "rank": 1
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        "arena": "agents",
        "category": "godotgamedev",
        "elo": 1327,
        "win_rate": 60.7,
        "rank": 1
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      {
        "arena": "agents",
        "category": "htmlslides",
        "elo": 1394,
        "win_rate": 56.5,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1261,
        "win_rate": 56.3,
        "rank": 8
      },
      {
        "arena": "agents",
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        "elo": 1318,
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        "rank": 1
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      {
        "arena": "agents",
        "category": "spreadsheet",
        "elo": 1426,
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        "rank": 1
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      {
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        "rank": 3
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      {
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        "category": "3d",
        "elo": 1403,
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        "rank": 5
      },
      {
        "arena": "models",
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        "elo": 1308,
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}
openrouter.ai/anthropic/claude-fable-5.1
Anthropic: Claude Fable 5.1 (batch)
AnthropicClaude Fable 5.1 (batch)
anthropic/claude-fable-5.1:batch
2026-09-01text+image+file->textreasoning: max / xhigh / high / medium / low
Intelligence index
50
Artificial Analysis
Coding index
80.7
Artificial Analysis
Agentic index
57.2
Artificial Analysis
Design Arena
1326 Elo · #1
fullstack · 57.2% wins
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Cached input
$0.13
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
inspect — the catalog entry
{
  "id": "anthropic/claude-fable-5.1:batch",
  "canonical_slug": "anthropic/claude-fable-5.1-20260831",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Fable 5.1 (batch)",
  "created": 1788285838,
  "description": "Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...",
  "context_length": 1000000,
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    "input_modalities": [
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      "file"
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    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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    "web_search": "0.01",
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    "input_cache_write": "0.00000625",
    "input_cache_write_1h": "0.00001"
  },
  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 128000,
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  "per_request_limits": null,
  "supported_parameters": [
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    "max_tokens",
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    "tools",
    "verbosity"
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  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-fable-5.1-20260831/endpoints"
  },
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  "benchmarks": {
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      {
        "arena": "agents",
        "category": "fullstack",
        "elo": 1326,
        "win_rate": 57.2,
        "rank": 1
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        "elo": 1327,
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openrouter.ai/anthropic/claude-fable-5.1:batch
Anthropic: Claude Opus 5
AnthropicClaude Opus 5
anthropic/claude-opus-5
2026-07-24text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
78
Artificial Analysis
Agentic index
56.5
Artificial Analysis
Design Arena
1348 Elo · #1
mobileapps · 67.1% wins
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Cached input
$0.50
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
inspect — the catalog entry
{
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  "hugging_face_id": null,
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  "created": 1784912544,
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  },
  "per_request_limits": null,
  "supported_parameters": [
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        "category": "androidnative",
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        "elo": 1308,
        "win_rate": 58.4,
        "rank": 5
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        "rank": 6
      },
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        "elo": 1308,
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        "rank": 11
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    ],
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    }
  },
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      "medium",
      "low",
      "none"
    ],
    "default_effort": "high"
  }
}
openrouter.ai/anthropic/claude-opus-5
Anthropic: Claude Opus 5 (batch)
AnthropicClaude Opus 5 (batch)
anthropic/claude-opus-5:batch
2026-07-24text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
78
Artificial Analysis
Agentic index
56.5
Artificial Analysis
Design Arena
1348 Elo · #1
mobileapps · 67.1% wins
Input
$2.50
per 1M tokens
Output
$13
per 1M tokens
Cached input
$0.25
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
inspect — the catalog entry
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openrouter.ai/anthropic/claude-opus-5:batch
Anthropic: Claude Sonnet 5
AnthropicClaude Sonnet 5
anthropic/claude-sonnet-5
2026-06-30text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
71.5
Artificial Analysis
Agentic index
43.6
Artificial Analysis
Design Arena
1172 Elo · #8
agenticgamedev · 51.7% wins
Input
$2
per 1M tokens
Output
$10
per 1M tokens
Cached input
$0.20
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
inspect — the catalog entry
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  "created": 1782843083,
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        "rank": 8
      },
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      },
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        "elo": 1190,
        "win_rate": 49.3,
        "rank": 34
      },
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        "elo": 1274,
        "win_rate": 53.6,
        "rank": 30
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        "elo": 1273,
        "win_rate": 52.2,
        "rank": 28
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    ],
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  },
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}
openrouter.ai/anthropic/claude-sonnet-5
Anthropic: Claude Sonnet 5 (batch)
AnthropicClaude Sonnet 5 (batch)
anthropic/claude-sonnet-5:batch
2026-06-30text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
71.5
Artificial Analysis
Agentic index
43.6
Artificial Analysis
Design Arena
1172 Elo · #8
agenticgamedev · 51.7% wins
Input
$1
per 1M tokens
Output
$5
per 1M tokens
Cached input
$0.10
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
inspect — the catalog entry
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      },
      {
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        "elo": 1190,
        "win_rate": 49.3,
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}
openrouter.ai/anthropic/claude-sonnet-5:batch
Anthropic: Claude Fable 5
AnthropicClaude Fable 5
anthropic/claude-fable-5
2026-06-09text+image+file->textreasoning: max / xhigh / high / medium / low
Coding index
76.5
Artificial Analysis
Agentic index
50.7
Artificial Analysis
Design Arena
1254 Elo · #1
agentichtmlslides · 59.4% wins
Input
$10
per 1M tokens
Output
$50
per 1M tokens
Cached input
$1
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
inspect — the catalog entry
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  "created": 1781007515,
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        "elo": 1324,
        "win_rate": 67.9,
        "rank": 3
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1308,
        "win_rate": 57.6,
        "rank": 13
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1304,
        "win_rate": 57.5,
        "rank": 12
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1334,
        "win_rate": 60.8,
        "rank": 11
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1298,
        "win_rate": 62.6,
        "rank": 8
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1313,
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        "rank": 14
      },
      {
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        "category": "website",
        "elo": 1294,
        "win_rate": 56,
        "rank": 18
      }
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    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 76.5,
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  "reasoning": {
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    "default_effort": "high"
  }
}
openrouter.ai/anthropic/claude-fable-5
Anthropic: Claude Fable 5 (batch)
AnthropicClaude Fable 5 (batch)
anthropic/claude-fable-5:batch
2026-06-09text+image+file->textreasoning: max / xhigh / high / medium / low
Coding index
76.5
Artificial Analysis
Agentic index
50.7
Artificial Analysis
Design Arena
1254 Elo · #1
agentichtmlslides · 59.4% wins
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Cached input
$0.50
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
inspect — the catalog entry
{
  "id": "anthropic/claude-fable-5:batch",
  "canonical_slug": "anthropic/claude-5-fable-20260609",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Fable 5 (batch)",
  "created": 1781007515,
  "description": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...",
  "context_length": 1000000,
  "architecture": {
    "modality": "text+image+file->text",
    "input_modalities": [
      "text",
      "image",
      "file"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.000005",
    "completion": "0.000025",
    "web_search": "0.01",
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    "input_cache_write": "0.00000625",
    "input_cache_write_1h": "0.00001"
  },
  "top_provider": {
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    "max_completion_tokens": 128000,
    "is_moderated": true
  },
  "per_request_limits": null,
  "supported_parameters": [
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    "max_tokens",
    "reasoning",
    "reasoning_effort",
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    "verbosity"
  ],
  "default_parameters": {
    "temperature": null,
    "top_p": null,
    "top_k": null,
    "frequency_penalty": null,
    "presence_penalty": null,
    "repetition_penalty": null
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-5-fable-20260609/endpoints"
  },
  "endpoints": [
    "/api/v1/batches"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "agents",
        "category": "agenticgamedev",
        "elo": 1231,
        "win_rate": 61.9,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "agentichtmlslides",
        "elo": 1254,
        "win_rate": 59.4,
        "rank": 1
      },
      {
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        "category": "agenticslides(html)",
        "elo": 1252,
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      {
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        "elo": 1282,
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      {
        "arena": "agents",
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        "rank": 6
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      {
        "arena": "agents",
        "category": "godotgamedev",
        "elo": 1292,
        "win_rate": 64.3,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "htmlslides",
        "elo": 1173,
        "win_rate": 63.1,
        "rank": 4
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1262,
        "win_rate": 60.4,
        "rank": 7
      },
      {
        "arena": "agents",
        "category": "python-pptxslides",
        "elo": 1250,
        "win_rate": 61.4,
        "rank": 4
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1247,
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        "rank": 12
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      {
        "arena": "models",
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        "rank": 17
      },
      {
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        "rank": 3
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1308,
        "win_rate": 57.6,
        "rank": 13
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1304,
        "win_rate": 57.5,
        "rank": 12
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1334,
        "win_rate": 60.8,
        "rank": 11
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1298,
        "win_rate": 62.6,
        "rank": 8
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1313,
        "win_rate": 58.1,
        "rank": 14
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1294,
        "win_rate": 56,
        "rank": 18
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    "artificial_analysis": {
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      "xhigh",
      "high",
      "medium",
      "low"
    ],
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openrouter.ai/anthropic/claude-fable-5:batch
Anthropic: Claude Opus 4.8
AnthropicClaude Opus 4.8
anthropic/claude-opus-4.8
2026-05-27text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
74.3
Artificial Analysis
Agentic index
41.9
Artificial Analysis
Design Arena
1294 Elo · #1
agenticslides · 64.8% wins
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Cached input
$0.50
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
inspect — the catalog entry
{
  "id": "anthropic/claude-opus-4.8",
  "canonical_slug": "anthropic/claude-4.8-opus-20260528",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Opus 4.8",
  "created": 1779905091,
  "description": "Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...",
  "context_length": 1000000,
  "architecture": {
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    "input_modalities": [
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      "image",
      "file"
    ],
    "output_modalities": [
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    ],
    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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    "completion": "0.000025",
    "web_search": "0.01",
    "input_cache_read": "0.0000005",
    "input_cache_write": "0.00000625",
    "input_cache_write_1h": "0.00001"
  },
  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 128000,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "include_reasoning",
    "max_completion_tokens",
    "max_tokens",
    "reasoning",
    "reasoning_effort",
    "response_format",
    "stop",
    "structured_outputs",
    "tool_choice",
    "tools",
    "verbosity"
  ],
  "default_parameters": {},
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-4.8-opus-20260528/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "agents",
        "category": "agenticgamedev",
        "elo": 1182,
        "win_rate": 55.2,
        "rank": 5
      },
      {
        "arena": "agents",
        "category": "agentichtmlslides",
        "elo": 1227,
        "win_rate": 55.6,
        "rank": 3
      },
      {
        "arena": "agents",
        "category": "agenticslides",
        "elo": 1294,
        "win_rate": 64.8,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "agenticslides(html)",
        "elo": 1230,
        "win_rate": 56,
        "rank": 3
      },
      {
        "arena": "agents",
        "category": "agenticslides(python-pptx)",
        "elo": 1310,
        "win_rate": 68.9,
        "rank": 1
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      {
        "arena": "agents",
        "category": "androidnative",
        "elo": 1233,
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      {
        "arena": "agents",
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        "elo": 1096,
        "win_rate": 48.2,
        "rank": 14
      },
      {
        "arena": "agents",
        "category": "codetovideo",
        "elo": 1193,
        "win_rate": 52.6,
        "rank": 5
      },
      {
        "arena": "agents",
        "category": "fullstack",
        "elo": 1249,
        "win_rate": 55.3,
        "rank": 8
      },
      {
        "arena": "agents",
        "category": "godotgamedev",
        "elo": 1231,
        "win_rate": 55.8,
        "rank": 10
      },
      {
        "arena": "agents",
        "category": "htmlslides",
        "elo": 1117,
        "win_rate": 58,
        "rank": 8
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1216,
        "win_rate": 54,
        "rank": 15
      },
      {
        "arena": "agents",
        "category": "pdf",
        "elo": 1155,
        "win_rate": 47,
        "rank": 18
      },
      {
        "arena": "agents",
        "category": "pptxslides",
        "elo": 1306,
        "win_rate": 67.9,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "python-pptxslides",
        "elo": 1298,
        "win_rate": 65.9,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "spreadsheet",
        "elo": 1216,
        "win_rate": 64.5,
        "rank": 10
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1219,
        "win_rate": 51.3,
        "rank": 16
      },
      {
        "arena": "models",
        "category": "3d",
        "elo": 1219,
        "win_rate": 51.2,
        "rank": 44
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1274,
        "win_rate": 62.1,
        "rank": 9
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1254,
        "win_rate": 52.3,
        "rank": 41
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1241,
        "win_rate": 52.8,
        "rank": 40
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1263,
        "win_rate": 52.4,
        "rank": 31
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1191,
        "win_rate": 51.1,
        "rank": 32
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1253,
        "win_rate": 53,
        "rank": 41
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1258,
        "win_rate": 52.7,
        "rank": 39
      }
    ],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 74.3,
      "agentic_index": 41.9
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  },
  "reasoning": {
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    "default_enabled": false,
    "supported_efforts": [
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      "xhigh",
      "high",
      "medium",
      "low",
      "none"
    ],
    "default_effort": "high"
  }
}
openrouter.ai/anthropic/claude-opus-4.8
Anthropic: Claude Opus 4.8 (batch)
AnthropicClaude Opus 4.8 (batch)
anthropic/claude-opus-4.8:batch
2026-05-27text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
74.3
Artificial Analysis
Agentic index
41.9
Artificial Analysis
Design Arena
1294 Elo · #1
agenticslides · 64.8% wins
Input
$2.50
per 1M tokens
Output
$13
per 1M tokens
Cached input
$0.25
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
inspect — the catalog entry
{
  "id": "anthropic/claude-opus-4.8:batch",
  "canonical_slug": "anthropic/claude-4.8-opus-20260528",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Opus 4.8 (batch)",
  "created": 1779905091,
  "description": "Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...",
  "context_length": 1000000,
  "architecture": {
    "modality": "text+image+file->text",
    "input_modalities": [
      "text",
      "image",
      "file"
    ],
    "output_modalities": [
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    ],
    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.0000025",
    "completion": "0.0000125",
    "web_search": "0.01",
    "input_cache_read": "0.00000025",
    "input_cache_write": "0.000003125",
    "input_cache_write_1h": "0.000005"
  },
  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 128000,
    "is_moderated": true
  },
  "per_request_limits": null,
  "supported_parameters": [
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    "max_tokens",
    "reasoning",
    "reasoning_effort",
    "response_format",
    "stop",
    "structured_outputs",
    "tool_choice",
    "tools",
    "verbosity"
  ],
  "default_parameters": {},
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/anthropic/claude-4.8-opus-20260528/endpoints"
  },
  "endpoints": [
    "/api/v1/batches"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "agents",
        "category": "agenticgamedev",
        "elo": 1182,
        "win_rate": 55.2,
        "rank": 5
      },
      {
        "arena": "agents",
        "category": "agentichtmlslides",
        "elo": 1227,
        "win_rate": 55.6,
        "rank": 3
      },
      {
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        "category": "agenticslides",
        "elo": 1294,
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        "rank": 1
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      {
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        "category": "agenticslides(html)",
        "elo": 1230,
        "win_rate": 56,
        "rank": 3
      },
      {
        "arena": "agents",
        "category": "agenticslides(python-pptx)",
        "elo": 1310,
        "win_rate": 68.9,
        "rank": 1
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        "category": "androidnative",
        "elo": 1233,
        "win_rate": 56.3,
        "rank": 8
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      {
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        "elo": 1096,
        "win_rate": 48.2,
        "rank": 14
      },
      {
        "arena": "agents",
        "category": "codetovideo",
        "elo": 1193,
        "win_rate": 52.6,
        "rank": 5
      },
      {
        "arena": "agents",
        "category": "fullstack",
        "elo": 1249,
        "win_rate": 55.3,
        "rank": 8
      },
      {
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        "category": "godotgamedev",
        "elo": 1231,
        "win_rate": 55.8,
        "rank": 10
      },
      {
        "arena": "agents",
        "category": "htmlslides",
        "elo": 1117,
        "win_rate": 58,
        "rank": 8
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1216,
        "win_rate": 54,
        "rank": 15
      },
      {
        "arena": "agents",
        "category": "pdf",
        "elo": 1155,
        "win_rate": 47,
        "rank": 18
      },
      {
        "arena": "agents",
        "category": "pptxslides",
        "elo": 1306,
        "win_rate": 67.9,
        "rank": 1
      },
      {
        "arena": "agents",
        "category": "python-pptxslides",
        "elo": 1298,
        "win_rate": 65.9,
        "rank": 2
      },
      {
        "arena": "agents",
        "category": "spreadsheet",
        "elo": 1216,
        "win_rate": 64.5,
        "rank": 10
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1219,
        "win_rate": 51.3,
        "rank": 16
      },
      {
        "arena": "models",
        "category": "3d",
        "elo": 1219,
        "win_rate": 51.2,
        "rank": 44
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1274,
        "win_rate": 62.1,
        "rank": 9
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1254,
        "win_rate": 52.3,
        "rank": 41
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1241,
        "win_rate": 52.8,
        "rank": 40
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1263,
        "win_rate": 52.4,
        "rank": 31
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1191,
        "win_rate": 51.1,
        "rank": 32
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1253,
        "win_rate": 53,
        "rank": 41
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1258,
        "win_rate": 52.7,
        "rank": 39
      }
    ],
    "artificial_analysis": {
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      "coding_index": 74.3,
      "agentic_index": 41.9
    }
  },
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    "default_enabled": false,
    "supported_efforts": [
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      "xhigh",
      "high",
      "medium",
      "low",
      "none"
    ],
    "default_effort": "high"
  }
}
openrouter.ai/anthropic/claude-opus-4.8:batch
Anthropic: Claude Opus 4.7
AnthropicClaude Opus 4.7
anthropic/claude-opus-4.7
2026-04-16text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
73.6
Artificial Analysis
Agentic index
38.6
Artificial Analysis
Input
$5
per 1M tokens
Output
$25
per 1M tokens
Cached input
$0.50
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
inspect — the catalog entry
{
  "id": "anthropic/claude-opus-4.7",
  "canonical_slug": "anthropic/claude-4.7-opus-20260416",
  "hugging_face_id": null,
  "name": "Anthropic: Claude Opus 4.7",
  "created": 1776351100,
  "description": "Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...",
  "context_length": 1000000,
  "architecture": {
    "modality": "text+image+file->text",
    "input_modalities": [
      "text",
      "image",
      "file"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Claude",
    "instruct_type": null
  },
  "pricing": {
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openrouter.ai/anthropic/claude-opus-4.7
Anthropic: Claude Opus 4.7 (batch)
AnthropicClaude Opus 4.7 (batch)
anthropic/claude-opus-4.7:batch
2026-04-16text+image+file->textreasoning: max / xhigh / high / medium / low / none
Coding index
73.6
Artificial Analysis
Agentic index
38.6
Artificial Analysis
Input
$2.50
per 1M tokens
Output
$13
per 1M tokens
Cached input
$0.25
per 1M tokens
Context
1M
tokens it reads
Max output
128K
tokens it writes
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
inspect — the catalog entry
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  "context_length": 1000000,
  "architecture": {
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    "input_modalities": [
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}
openrouter.ai/anthropic/claude-opus-4.7:batch