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Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai

Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai
Google Subscription 8 params

Google Gemini 2.5 Pro (subscription) parameters

These are the parameters modelparams.dev tracks for Google Gemini 2.5 Pro when you reach it through a subscription rather than an API key. 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.

Length 1 param
Parameter Type Default Description Condition
Max output tokens
generationConfig.maxOutputTokens 		integer (1…65536) — Maximum number of tokens to include in a response candidate. —
Sampling 4 params
Parameter Type Default Description Condition
Temperature
generationConfig.temperature 		number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied. —
Top P
generationConfig.topP 		number (0…1 step 0.01) 0.95 Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. —
Top K
generationConfig.topK 		integer (0…+∞) 64 Limits token sampling to the top K most likely next tokens. —
Seed
generationConfig.seed 		integer — Optional seed used for decoding when reproducible sampling is desired. —
Reasoning 2 params
Parameter Type Default Description Condition
Thinking budget
generationConfig.thinkingConfig.thinkingBudget 		integer (128…32768) — Maximum number of thinking tokens Gemini should use before producing the final answer. —
Include thoughts
generationConfig.thinkingConfig.includeThoughts 		boolean false Controls whether Gemini returns available thought summaries in the response parts. —
Output 1 param
Parameter Type Default Description Condition
Response MIME type
generationConfig.responseMimeType 		enum (text/plain | application/json) "text/plain" MIME type for generated text candidates. —

Google Gemini 2.5 Pro API parameters in brief

Google Gemini 2.5 Pro via subscription documents 8 API parameters, grouped by what they control:

Frequently asked questions

How many parameters does Google Gemini 2.5 Pro (subscription) accept?
Google Gemini 2.5 Pro (subscription) accepts 8 API parameters: generationConfig.maxOutputTokens, generationConfig.temperature, generationConfig.topP, generationConfig.topK, generationConfig.seed, generationConfig.thinkingConfig.thinkingBudget, and more.

Resources

All Google models Glossary Full catalog

Gemini 2.5 Pro — JSON

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

/api/v1/models/google/gemini-2.5-pro-subscription.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "google",
  "authType": "subscription",
  "model": "gemini-2.5-pro",
  "params": [
    {
      "path": "generationConfig.maxOutputTokens",
      "label": "Max output tokens",
      "description": "Maximum number of tokens to include in a response candidate.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1,
        "max": 65536
      }
    },
    {
      "path": "generationConfig.temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied.",
      "group": "sampling",
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "path": "generationConfig.topP",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
      "group": "sampling",
      "type": "number",
      "default": 0.95,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "generationConfig.topK",
      "label": "Top K",
      "description": "Limits token sampling to the top K most likely next tokens.",
      "group": "sampling",
      "type": "integer",
      "default": 64,
      "range": {
        "min": 0
      }
    },
    {
      "path": "generationConfig.seed",
      "label": "Seed",
      "description": "Optional seed used for decoding when reproducible sampling is desired.",
      "group": "sampling",
      "type": "integer"
    },
    {
      "path": "generationConfig.thinkingConfig.thinkingBudget",
      "label": "Thinking budget",
      "description": "Maximum number of thinking tokens Gemini should use before producing the final answer.",
      "group": "reasoning",
      "type": "integer",
      "range": {
        "min": 128,
        "max": 32768
      }
    },
    {
      "path": "generationConfig.thinkingConfig.includeThoughts",
      "label": "Include thoughts",
      "description": "Controls whether Gemini returns available thought summaries in the response parts.",
      "group": "reasoning",
      "type": "boolean",
      "default": false
    },
    {
      "path": "generationConfig.responseMimeType",
      "label": "Response MIME type",
      "description": "MIME type for generated text candidates.",
      "group": "output_format",
      "type": "enum",
      "default": "text/plain",
      "values": [
        "text/plain",
        "application/json"
      ]
    }
  ]
}

Other Google models

Gemini 2.5 Flash 8 params View Gemini 2.5 Flash Subscription 8 params View Gemini 2.5 Flash Lite 8 params View Gemini 2.5 Flash Lite Subscription 8 params View Gemini 2.5 Pro 8 params View Gemini 3 Flash Preview Subscription 8 params View Gemini 3.1 Flash Lite Subscription 8 params View Gemini 3.1 Flash Lite Preview Subscription 8 params View Gemini 3.1 Pro Preview Subscription 8 params View Gemini 3.5 Flash 8 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/params/gpt-5.5.json
curl https://modelparams.dev/api/v1/params/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