DeepSeek: DeepSeek V4 Pro 0423

{
  "id": "deepseek/deepseek-v4-pro",
  "canonical_slug": "deepseek/deepseek-v4-pro-20260423",
  "hugging_face_id": "deepseek-ai/DeepSeek-V4-Pro",
  "name": "DeepSeek: DeepSeek V4 Pro 0423",
  "created": 1777000679,
  "description": "DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...",
  "context_length": 1048576,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "DeepSeek",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.0000016",
    "completion": "0.0000032",
    "input_cache_read": "0.000000135"
  },
  "top_provider": {
    "context_length": 1048576,
    "max_completion_tokens": 393216,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logit_bias",
    "logprobs",
    "max_completion_tokens",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "reasoning_effort",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "structured_outputs",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_logprobs",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 1,
    "top_p": 1
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/deepseek/deepseek-v4-pro-20260423/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "agents",
        "category": "fullstack",
        "elo": 948,
        "win_rate": 22.1,
        "rank": 43
      },
      {
        "arena": "agents",
        "category": "godotgamedev",
        "elo": 1059,
        "win_rate": 34,
        "rank": 32
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1000,
        "win_rate": 26.4,
        "rank": 46
      },
      {
        "arena": "models",
        "category": "3d",
        "elo": 1251,
        "win_rate": 56.8,
        "rank": 33
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1146,
        "win_rate": 46.4,
        "rank": 47
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1238,
        "win_rate": 51.9,
        "rank": 47
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1203,
        "win_rate": 48.7,
        "rank": 59
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1229,
        "win_rate": 52.3,
        "rank": 44
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1136,
        "win_rate": 45.4,
        "rank": 55
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1216,
        "win_rate": 50.6,
        "rank": 54
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1233,
        "win_rate": 50.5,
        "rank": 53
      }
    ],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 59.4,
      "agentic_index": 26.3
    }
  },
  "reasoning": {
    "mandatory": false,
    "supported_efforts": [
      "xhigh",
      "high",
      "none"
    ],
    "default_effort": "high"
  }
}