MiscSubjects

Collection

Liquid AI

3 model catalog entries

LiquidAI: LFM2.5-24B-A2B
Liquid AILFM2.5-24B-A2B
liquid/lfm-2.5-24b-a2b
2026-10-13text->text
Input
$0.05
per 1M tokens
Output
$0.70
per 1M tokens
Cached input
$0.02
per 1M tokens
Context
128K
tokens it reads
Max output
8K
tokens it writes
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
inspect — the catalog entry
{
  "id": "liquid/lfm-2.5-24b-a2b",
  "canonical_slug": "liquid/lfm-2.5-24b-a2b-20261012",
  "hugging_face_id": "LiquidAI/LFM2.5-24B-A2B",
  "name": "LiquidAI: LFM2.5-24B-A2B",
  "created": 1791912025,
  "description": "LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...",
  "context_length": 128000,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.00000005",
    "completion": "0.0000007",
    "input_cache_read": "0.000000025"
  },
  "top_provider": {
    "context_length": 128000,
    "max_completion_tokens": 8192,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logprobs",
    "max_completion_tokens",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "structured_outputs",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_logprobs",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 0.1,
    "top_k": 50,
    "repetition_penalty": 1.05
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/liquid/lfm-2.5-24b-a2b-20261012/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "reasoning": {
    "mandatory": true
  },
  "benchmarks": null
}
LiquidAI: LFM2.5-2.6B
Liquid AILFM2.5-2.6B
liquid/lfm-2.5-2.6b
2026-08-11text->text
Coding index
7.7
Artificial Analysis
Input
$0.35
per 1M tokens
Output
$0.50
per 1M tokens
Cached input
$0.04
per 1M tokens
Context
128K
tokens it reads
Max output
8K
tokens it writes
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
inspect — the catalog entry
{
  "id": "liquid/lfm-2.5-2.6b",
  "canonical_slug": "liquid/lfm-2.5-2.6b-20260811",
  "hugging_face_id": "LiquidAI/LFM2.5-2.6B",
  "name": "LiquidAI: LFM2.5-2.6B",
  "created": 1786470519,
  "description": "LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...",
  "context_length": 128000,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.00000035",
    "completion": "0.0000005",
    "input_cache_read": "0.00000004"
  },
  "top_provider": {
    "context_length": 128000,
    "max_completion_tokens": 8192,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logprobs",
    "max_completion_tokens",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "structured_outputs",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_logprobs",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 0.1,
    "top_k": 50,
    "repetition_penalty": 1.1
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/liquid/lfm-2.5-2.6b-20260811/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 7.7,
      "agentic_index": null
    }
  },
  "reasoning": {
    "mandatory": true
  }
}
LiquidAI: LFM2.5-2.6B (free)
Liquid AILFM2.5-2.6B (free)
liquid/lfm-2.5-2.6b:free
2026-08-11text->text
Coding index
7.7
Artificial Analysis
Input
$0
per 1M tokens
Output
$0
per 1M tokens
Context
66K
tokens it reads
Max output
8K
tokens it writes
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
inspect — the catalog entry
{
  "id": "liquid/lfm-2.5-2.6b:free",
  "canonical_slug": "liquid/lfm-2.5-2.6b-20260811",
  "hugging_face_id": "LiquidAI/LFM2.5-2.6B",
  "name": "LiquidAI: LFM2.5-2.6B (free)",
  "created": 1786470519,
  "description": "LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...",
  "context_length": 65536,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0",
    "completion": "0"
  },
  "top_provider": {
    "context_length": 65536,
    "max_completion_tokens": 8192,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logprobs",
    "max_completion_tokens",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "structured_outputs",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_logprobs",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 0.1,
    "top_k": 50,
    "repetition_penalty": 1.1
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/liquid/lfm-2.5-2.6b-20260811/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 7.7,
      "agentic_index": null
    }
  },
  "reasoning": {
    "mandatory": true
  }
}