modelparams.dev
Sampling number 56 models

Temperature inferenceConfig.temperature

Controls randomness. Lower values make outputs more focused; higher values make them more varied. Bedrock rejects values above 1 for this model.

Type
number
Default
no default
Range
0 – 1

inferenceConfig.temperature by model

The exact type, default, range, and conditions for inferenceConfig.temperature on each model that documents it.

Model Provider Type Default Range / values Condition
Claude Haiku 4.5 Bedrock number — 0…1 step 0.1 —
Claude Opus 4.5 20251101 Bedrock number — 0…1 step 0.1 —
Claude Opus 4.6 Bedrock number — 0…1 step 0.1 —
Claude Sonnet 4.5 Bedrock number — 0…1 step 0.1 —
Claude Sonnet 4.6 Bedrock number — 0…1 step 0.1 —
DeepSeek R1 Bedrock number — 0…1 step 0.1 —
DeepSeek v3.2 Bedrock number — 0…1 step 0.1 —
Devstral 2 123B Bedrock number — 0…1 step 0.1 —
Gemma 3 12B IT Bedrock number — 0…1 step 0.1 —
Gemma 3 27B IT Bedrock number — 0…1 step 0.1 —
Gemma 3 4B IT Bedrock number — 0…1 step 0.1 —
GLM-4.7 Bedrock number — 0…1 step 0.1 —
GLM-4.7 Flash Bedrock number — 0…1 step 0.1 —
GLM-5 Bedrock number — 0…1 step 0.1 —
GPT-OSS 120B Bedrock number — 0…1 step 0.1 —
GPT-OSS 20B Bedrock number — 0…1 step 0.1 —
GPT-OSS Safeguard 120B Bedrock number — 0…1 step 0.1 —
GPT-OSS Safeguard 20B Bedrock number — 0…1 step 0.1 —
Kimi K2 Thinking Bedrock number — 0…1 step 0.1 —
Kimi K2.5 Bedrock number — 0…1 step 0.1 —
Llama3 1 70B Instruct Bedrock number — 0…1 step 0.1 —
Llama3 1 8B Instruct Bedrock number — 0…1 step 0.1 —
Llama3 3 70B Instruct Bedrock number — 0…1 step 0.1 —
Llama3 70B Instruct Bedrock number — 0…1 step 0.1 —
Llama3 8B Instruct Bedrock number — 0…1 step 0.1 —
Magistral Small 2509 Bedrock number — 0…1 step 0.1 —
MiniMax M2 Bedrock number — 0…1 step 0.1 —
MiniMax M2.1 Bedrock number — 0…1 step 0.1 —
MiniMax M2.5 Bedrock number — 0…1 step 0.1 —
Ministral 3 14B Instruct Bedrock number — 0…1 step 0.1 —
Ministral 3 3B Instruct Bedrock number — 0…1 step 0.1 —
Ministral 3 8B Instruct Bedrock number — 0…1 step 0.1 —
Mistral 7B Instruct Bedrock number — 0…1 step 0.1 —
Mistral Large 2402 Bedrock number — 0…1 step 0.1 —
Mistral Large 3 675B Instruct Bedrock number — 0…1 step 0.1 —
Mistral Small 2402 Bedrock number — 0…1 step 0.1 —
Mixtral 8x7b Instruct Bedrock number — 0…1 step 0.1 —
Nemotron Nano 12B Bedrock number — 0…1 step 0.1 —
Nemotron Nano 3 30B Bedrock number — 0…1 step 0.1 —
Nemotron Nano 9B Bedrock number — 0…1 step 0.1 —
Nemotron Super 3 120B Bedrock number — 0…1 step 0.1 —
Nova 2 Lite Bedrock number — 0…1 step 0.1 —
Nova Lite Bedrock number — 0…1 step 0.1 —
Nova Micro Bedrock number — 0…1 step 0.1 —
Nova Pro Bedrock number — 0…1 step 0.1 —
Palmyra Vision 7B Bedrock number — 0…1 step 0.1 —
Palmyra X4 Bedrock number — 0…1 step 0.1 —
Palmyra X5 Bedrock number — 0…1 step 0.1 —
Pixtral Large 2502 Bedrock number — 0…1 step 0.1 —
Qwen3 32B Bedrock number — 0…1 step 0.1 —
Qwen3 Coder 30B A3B Bedrock number — 0…1 step 0.1 —
Qwen3 Coder Next Bedrock number — 0…1 step 0.1 —
Qwen3 Next 80B A3B Bedrock number — 0…1 step 0.1 —
Qwen3 Vl 235B A22B Bedrock number — 0…1 step 0.1 —
Voxtral Mini 3B 2507 Bedrock number — 0…1 step 0.1 —
Voxtral Small 24B 2507 Bedrock number — 0…1 step 0.1 —

Models without inferenceConfig.temperature documented yet

These models don't list inferenceConfig.temperature 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 sampling 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

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