modelparams.dev
Reasoning enum 23 models

Thinking level generationConfig.thinkingConfig.thinkingLevel

Controls Gemini 3.1 Flash-Lite reasoning effort.

Type
enum
Default
varies by model

generationConfig.thinkingConfig.thinkingLevel by model

The exact type, default, range, and conditions for generationConfig.thinkingConfig.thinkingLevel on each model that documents it.

Model Provider Type Default Range / values Condition
Gemini 3 Flash Preview Google enum "minimal" minimal | low | medium | high
Gemini 3 Flash Preview Subscription Google enum "high" minimal | low | medium | high
Gemini 3.1 Flash Lite Google enum "minimal" minimal | low | medium | high
Gemini 3.1 Flash Lite Subscription Google enum "minimal" minimal | low | medium | high
Gemini 3.1 Flash Lite Preview Google enum "minimal" minimal | low | medium | high
Gemini 3.1 Flash Lite Preview Subscription Google enum "high" minimal | low | medium | high
Gemini 3.1 Pro Preview Google enum "minimal" minimal | low | medium | high
Gemini 3.1 Pro Preview Subscription Google enum "high" low | high
Gemini 3.1 Pro Preview Customtools Google enum "minimal" minimal | low | medium | high
Gemini 3.5 Flash Google enum "medium" minimal | low | medium | high
Gemini 3.5 Flash Lite Google enum "medium" minimal | low | medium | high
Gemini 3.6 Flash Google enum "minimal" minimal | low | medium | high
Gemini 3.7 Flash Google enum "minimal" minimal | low | medium | high
Gemma 4 26B A4B IT Google enum minimal | high
Gemma 4 31B IT Google enum minimal | high
Gemini 3 Flash Preview Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.1 Flash Lite Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.1 Pro Preview Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.1 Pro Preview Customtools Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.5 Flash Vertex enum "medium" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.5 Flash Lite Vertex enum "medium" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.6 Flash Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null
Gemini 3.7 Flash Vertex enum "minimal" minimal | low | medium | high
Not when generationConfig.thinkingConfig.thinkingBudget ≠ null

Models without generationConfig.thinkingConfig.thinkingLevel documented yet

These models don't list generationConfig.thinkingConfig.thinkingLevel in the catalog. That may mean the provider doesn't accept it, or it simply hasn't been added yet — the data is community-maintained.

Cerebras

Thinking Machines

Related reasoning parameters

Resources

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

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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.

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