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Providers

Alibaba Anthropic Bedrock Cerebras Cohere DeepSeek Fireworks Google Groq Meta MiniMax Mistral Moonshot AI NVIDIA OpenAI Opencode Go Perplexity Thinking Machines Vertex xAI Xiaomi Z.ai

Providers

Alibaba Anthropic Bedrock Cerebras Cohere DeepSeek Fireworks Google Groq Meta MiniMax Mistral Moonshot AI NVIDIA OpenAI Opencode Go Perplexity Thinking Machines Vertex xAI Xiaomi Z.ai
Alibaba Chat Completions Retired 6 params

Alibaba Qvq Max API parameters

These are the API parameters modelparams.dev tracks for Alibaba Qvq Max on Chat Completions with an API key — the settings you send in a request. Each row gives the type, default, valid range or values, and the conditions that gate it. It's the same data the JSON API serves.

This model is retired.

After the parameter count instead — how many weights Qvq Max has? That's a different number, and we don't track it. Here's the difference.

Length 1 param
Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens 		integer (1…+∞) — Maximum number of tokens to generate, including both reasoning and the final answer. —
Sampling 3 params
Parameter Type Default Description Condition
Temperature
temperature 		number (0…1.9 step 0.1) — Controls randomness. Lower values make outputs more focused; higher values make them more varied. —
Top P
top_p 		number (0…1 step 0.01) — Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. —
Top K
extra_body.top_k 		integer (0…+∞) 20 Limits generation to the selected number of highest-probability tokens. Values above 100 disable top-k sampling. —
Reasoning 2 params
Parameter Type Default Description Condition
Enable thinking
extra_body.enable_thinking 		boolean true Toggles the model's hybrid thinking mode, sent as a provider-specific extra body field on OpenAI-compatible clients. —
Thinking budget
extra_body.thinking_budget 		integer (1…+∞) — Maximum number of tokens the model may spend on reasoning before it starts the final answer; defaults to the model's maximum reasoning length.
Only when extra_body.enable_thinking = true

Alibaba Qvq Max API parameters in brief

Alibaba Qvq Max on Chat Completions documents 6 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does Alibaba Qvq Max support?
Alibaba Qvq Max accepts 6 API parameters in the request body: max_completion_tokens, temperature, top_p, extra_body.top_k, extra_body.enable_thinking, extra_body.thinking_budget.

Resources

All Alibaba models Glossary Full catalog

Qvq Max — JSON

The full model definition as served by the API. Copy it or open the endpoint directly.

/api/v1/models/alibaba/qvq-max.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "alibaba",
  "authType": "api_key",
  "apiSurface": "openai-chat-completions",
  "model": "qvq-max",
  "status": "retired",
  "params": [
    {
      "path": "max_completion_tokens",
      "label": "Max tokens",
      "description": "Maximum number of tokens to generate, including both reasoning and the final answer.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied.",
      "group": "sampling",
      "type": "number",
      "range": {
        "min": 0,
        "max": 1.9,
        "step": 0.1
      }
    },
    {
      "path": "top_p",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
      "group": "sampling",
      "type": "number",
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "extra_body.top_k",
      "label": "Top K",
      "description": "Limits generation to the selected number of highest-probability tokens. Values above 100 disable top-k sampling.",
      "group": "sampling",
      "type": "integer",
      "default": 20,
      "range": {
        "min": 0
      }
    },
    {
      "path": "extra_body.enable_thinking",
      "label": "Enable thinking",
      "description": "Toggles the model's hybrid thinking mode, sent as a provider-specific extra body field on OpenAI-compatible clients.",
      "group": "reasoning",
      "type": "boolean",
      "default": true
    },
    {
      "path": "extra_body.thinking_budget",
      "label": "Thinking budget",
      "description": "Maximum number of tokens the model may spend on reasoning before it starts the final answer; defaults to the model's maximum reasoning length.",
      "group": "reasoning",
      "applicability": {
        "only": {
          "extra_body.enable_thinking": true
        }
      },
      "type": "integer",
      "range": {
        "min": 1
      }
    }
  ]
}

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How to use

Building with an AI agent? Hit Copy to grab this whole guide as Markdown and paste it in — or point your agent straight at /llms.txt.

modelparams.dev is an open, community-maintained catalog of model parameters. Each entry shows the knobs you can turn — type, default, range, and the conditions that gate it.

The same model accessed via an API key and via a subscription usually exposes a different set of parameters. We list both as separate entries so the data stays honest.

Catalog API

The full catalog is static JSON, CORS-enabled, served from the edge.

curl https://modelparams.dev/api/v1/models.json

Each entry is keyed by provider/model for API-key variants; subscription variants append -subscription.

If you only need the params for one model contract, use the providerless endpoint. Subscription contracts are model slugs with -subscription. 

curl https://modelparams.dev/api/v1/models/openai/gpt-5.5.json
curl https://modelparams.dev/api/v1/models/openai/gpt-5.5-subscription.json

Single model

curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7.json
curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7-subscription.json

JSON Schema

Every entry validates against a JSON Schema you can use in your editor or pipeline. 

curl https://modelparams.dev/api/v1/schema.json

Add this header to any YAML you author for autocomplete in VS Code: 

# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json

Logos

Provider logos are available at /assets/logos/{provider}.svg where {provider} is the provider slug. They use currentColor so they inherit your text color. 

curl https://modelparams.dev/assets/logos/anthropic.svg

Logos are sourced from the models.dev repo (MIT) and used under nominative fair use.

Contribute

The data lives in YAML under models/{provider}/{model}-{auth}.yaml in the GitHub repo. Open a PR; CI validates against the schema and rebuilds.

Edit on GitHub MIT licensed