{
  "_meta": {
    "source": "https://apipriceindex.com/api/venice/qwen3.5-397b-a17b",
    "attribution": "apipriceindex.com",
    "license": "CC BY 4.0",
    "license_url": "https://creativecommons.org/licenses/by/4.0/",
    "note": "Free to reuse with attribution to apipriceindex.com.",
    "generated_at": "2026-09-05T08:15:06.117Z"
  },
  "id": "venice:qwen3.5-397b-a17b",
  "name": "Qwen3.5 397B A17B (Venice)",
  "base_model": "qwen3.5-397b-a17b",
  "provider": {
    "id": "venice",
    "name": "Venice",
    "url": "https://venice.ai"
  },
  "category": "llm-chat",
  "capabilities": [
    "text",
    "vision",
    "function-calling"
  ],
  "context_window": 262144,
  "max_output": 32768,
  "pricing": {
    "model_id": "venice:qwen3.5-397b-a17b",
    "input": 0.75,
    "output": 4.5,
    "cached_input": null,
    "source_url": "https://openrouter.ai/qwen/qwen3.5-397b-a17b",
    "verified_at": "2026-09-05T08:00:57Z",
    "sources": [
      {
        "name": "OpenRouter",
        "input": 0.75,
        "output": 4.5,
        "url": "https://openrouter.ai/qwen/qwen3.5-397b-a17b",
        "verified_at": "2026-09-05T08:00:57Z"
      },
      {
        "name": "LiteLLM",
        "input": 0.6,
        "output": 3.6,
        "url": "https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json",
        "verified_at": "2026-09-03T20:47:46Z"
      },
      {
        "name": "models.dev",
        "input": 0.99,
        "output": 4.46,
        "url": "https://models.dev/",
        "verified_at": "2026-09-04T10:52:49Z"
      }
    ],
    "confidence": "corroborated",
    "delta_pct": 3.8
  },
  "price_history": [
    [
      "2026-09-03",
      0.75,
      4.5
    ]
  ],
  "latency": [],
  "license": {
    "license": "Apache 2.0",
    "tier": "permissive",
    "open_weights": true,
    "source_url": "https://huggingface.co/Qwen/Qwen3-32B/blob/main/LICENSE"
  },
  "cutoff": {
    "cutoff": "2025-09",
    "label": "September 2025",
    "source_url": "https://aiknowledgecutoff.com/"
  },
  "intelligence": {
    "score": 34.3,
    "model_name": "Qwen3.5 397B",
    "verified_at": "2026-09-04",
    "benchmark_label": "Artificial Analysis Intelligence Index",
    "source_url": "https://artificialanalysis.ai/"
  },
  "quality": {
    "elo": 1441,
    "arena_name": "Qwen3.5 397B-A17B",
    "verified_at": "2026-09-04",
    "benchmark_label": "LMArena (Chatbot Arena)",
    "source_url": "https://lmarena.ai/leaderboard/text"
  },
  "api": {
    "base_url": "https://openrouter.ai/api/v1",
    "model": "qwen/qwen3.5-397b-a17b",
    "via": "openrouter",
    "key_env": "OPENROUTER_API_KEY",
    "docs_url": "https://openrouter.ai/qwen/qwen3.5-397b-a17b",
    "or_provider": "Venice"
  },
  "facts": [
    "Qwen3.5 397B A17B (Venice) costs $0.75 input / $4.50 output per 1M tokens.",
    "A chatbot workload (1000 in / 500 out tokens) costs $3.00 per 1,000 requests.",
    "Cross-checked against LiteLLM's public price index, which lists qwen3.5-397b-a17b at $0.60/$3.60 per 1M (within 20% of this endpoint).",
    "Handles a 262,144-token context window, up to 32,768 output tokens.",
    "Open weights under Apache 2.0 — permissive licence.",
    "Training knowledge cutoff: September 2025.",
    "Scores 1441 on the LMArena (Chatbot Arena) (human-preference leaderboard) for qwen3.5-397b-a17b.",
    "Scores 34.3 on the Artificial Analysis Intelligence Index for qwen3.5-397b-a17b.",
    "92% pricier than the cheapest qwen3.5-397b-a17b endpoint ($2.73 on Alibaba).",
    "Value: 1441 Elo at $5.25 blended = 274 Elo points per dollar — ranking #290 of 321 priced & rated endpoints in the index.",
    "Intelligence value: 34.3 index at $5.25 blended = 6.5 index points per dollar — ranking #337 of 373 priced & AA-rated endpoints in the index."
  ]
}