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
Bedrock 4 params

Bedrock GPT-OSS Safeguard 120B API parameters

These are the API parameters modelparams.dev tracks for Bedrock GPT-OSS Safeguard 120B — 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 GPT-OSS Safeguard 120B has? That's a different number, and we don't track it. Here's the difference.

Length 2 params
Parameter Type Default Description Condition
Max tokens
inferenceConfig.maxTokens 		integer (1…+∞) — Maximum number of output tokens the model may generate. —
Stop sequences
inferenceConfig.stopSequences 		string — A list of strings where the model stops generating further tokens. —
Sampling 2 params
Parameter Type Default Description Condition
Temperature
inferenceConfig.temperature 		number (0…1 step 0.1) — Controls randomness. Lower values make outputs more focused; higher values make them more varied. Bedrock rejects values above 1 for this model. —
Top P
inferenceConfig.topP 		number (0…1 step 0.01) — Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value. —

Bedrock GPT-OSS Safeguard 120B API parameters in brief

Bedrock GPT-OSS Safeguard 120B documents 4 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does Bedrock GPT-OSS Safeguard 120B support?
Bedrock GPT-OSS Safeguard 120B accepts 4 API parameters in the request body: inferenceConfig.maxTokens, inferenceConfig.temperature, inferenceConfig.topP, inferenceConfig.stopSequences.

Resources

All Bedrock models Glossary Full catalog

GPT-OSS Safeguard 120B — JSON

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

/api/v1/models/bedrock/gpt-oss-safeguard-120b.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "bedrock",
  "authType": "api_key",
  "model": "gpt-oss-safeguard-120b",
  "wireId": "openai.gpt-oss-safeguard-120b",
  "params": [
    {
      "path": "inferenceConfig.maxTokens",
      "label": "Max tokens",
      "description": "Maximum number of output tokens the model may generate.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "inferenceConfig.temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied. Bedrock rejects values above 1 for this model.",
      "group": "sampling",
      "type": "number",
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.1
      }
    },
    {
      "path": "inferenceConfig.topP",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens whose cumulative probability reaches this value.",
      "group": "sampling",
      "type": "number",
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "inferenceConfig.stopSequences",
      "label": "Stop sequences",
      "description": "A list of strings where the model stops generating further tokens.",
      "group": "generation_length",
      "type": "string"
    }
  ]
}

Other Bedrock models

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