modelparams.dev
API MCP GitHub

Providers

Alibaba Anthropic Bedrock Cerebras Cohere DeepSeek Fireworks Google Groq Meta MiniMax Mistral Moonshot AI NVIDIA OpenAI 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 Perplexity Thinking Machines Vertex xAI Xiaomi Z.ai
DeepSeek 5 params

DeepSeek-V4 Pro API parameters

These are the API parameters modelparams.dev tracks for DeepSeek-V4 Pro — 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.

After the parameter count instead — how many weights DeepSeek-V4 Pro 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 tokens
max_tokens 		integer (1…+∞) 4096 Maximum number of output tokens the model may generate. —
Sampling 2 params
Parameter Type Default Description Condition
Temperature
temperature 		number (0…2 step 0.1) 1 Controls randomness. In DeepSeek thinking mode this parameter is accepted for compatibility but has no effect.
Not when thinking.type = "enabled"
Top P
top_p 		number (0…1 step 0.01) 1 Controls nucleus sampling. In DeepSeek thinking mode this parameter is accepted for compatibility but has no effect.
Not when thinking.type = "enabled"
Reasoning 2 params
Parameter Type Default Description Condition
Thinking mode
thinking.type 		enum (enabled | disabled) "enabled" Controls whether DeepSeek uses thinking mode before producing the final answer. —
Reasoning effort
reasoning_effort 		enum (high | max) "high" Controls DeepSeek thinking effort when thinking mode is enabled.
Only when thinking.type = "enabled"

DeepSeek DeepSeek-V4 Pro API parameters in brief

DeepSeek DeepSeek-V4 Pro documents 5 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does DeepSeek-V4 Pro support?
DeepSeek-V4 Pro accepts 5 API parameters in the request body: max_tokens, temperature, top_p, thinking.type, reasoning_effort.
What is the default temperature for DeepSeek-V4 Pro?
The default temperature for DeepSeek-V4 Pro is 1, within a valid range of 0 to 2.
What is the default top_p for DeepSeek-V4 Pro?
The default top_p for DeepSeek-V4 Pro is 1, within a valid range of 0 to 1.
What is the default max_tokens for DeepSeek-V4 Pro?
The default max_tokens for DeepSeek-V4 Pro is 4096, with a minimum of 1.

Resources

All DeepSeek models Glossary Full catalog

DeepSeek-V4 Pro — JSON

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

/api/v1/models/deepseek/deepseek-v4-pro.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "deepseek",
  "authType": "api_key",
  "model": "deepseek-v4-pro",
  "status": "active",
  "params": [
    {
      "path": "max_tokens",
      "label": "Max tokens",
      "description": "Maximum number of output tokens the model may generate.",
      "group": "generation_length",
      "type": "integer",
      "default": 4096,
      "range": {
        "min": 1
      }
    },
    {
      "path": "temperature",
      "label": "Temperature",
      "description": "Controls randomness. In DeepSeek thinking mode this parameter is accepted for compatibility but has no effect.",
      "group": "sampling",
      "applicability": {
        "except": {
          "thinking.type": [
            "enabled"
          ]
        }
      },
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "path": "top_p",
      "label": "Top P",
      "description": "Controls nucleus sampling. In DeepSeek thinking mode this parameter is accepted for compatibility but has no effect.",
      "group": "sampling",
      "applicability": {
        "except": {
          "thinking.type": [
            "enabled"
          ]
        }
      },
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "thinking.type",
      "label": "Thinking mode",
      "description": "Controls whether DeepSeek uses thinking mode before producing the final answer.",
      "group": "reasoning",
      "type": "enum",
      "default": "enabled",
      "values": [
        "enabled",
        "disabled"
      ]
    },
    {
      "path": "reasoning_effort",
      "label": "Reasoning effort",
      "description": "Controls DeepSeek thinking effort when thinking mode is enabled.",
      "group": "reasoning",
      "applicability": {
        "only": {
          "thinking.type": "enabled"
        }
      },
      "type": "enum",
      "default": "high",
      "values": [
        "high",
        "max"
      ]
    }
  ]
}

Other DeepSeek models

DeepSeek Chat 4 params View DeepSeek Reasoner 5 params View DeepSeek-V4 Flash 5 params View

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