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Bedrock 7 params

Bedrock Claude Haiku 4.5 API parameters

These are the API parameters modelparams.dev tracks for Bedrock Claude Haiku 4.5 — 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 Claude Haiku 4.5 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 3 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.
Top K
additionalModelRequestFields.top_k
integer (0…+∞) Limits token sampling to the top K most likely next tokens. Converse carries it through additionalModelRequestFields; it is not part of inferenceConfig.
Reasoning 2 params
Parameter Type Default Description Condition
Thinking mode
additionalModelRequestFields.thinking.type
enum (disabled | enabled) "disabled" Controls Anthropic extended thinking on Bedrock. Bedrock rejects the adaptive mode the first-party Anthropic API accepts, so only disabled and enabled are listed here.
Budget tokens
additionalModelRequestFields.thinking.budget_tokens
integer (1024…+∞) Maximum token budget the model may use for extended thinking before producing the final answer. Must be less than inferenceConfig.maxTokens.
Only when additionalModelRequestFields.thinking.type = "enabled"

Bedrock Claude Haiku 4.5 API parameters in brief

Bedrock Claude Haiku 4.5 documents 7 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does Bedrock Claude Haiku 4.5 support?
Bedrock Claude Haiku 4.5 accepts 7 API parameters in the request body: inferenceConfig.maxTokens, inferenceConfig.temperature, inferenceConfig.topP, inferenceConfig.stopSequences, additionalModelRequestFields.top_k, additionalModelRequestFields.thinking.type, and more.

Resources

All Bedrock models Glossary Full catalog

Claude Haiku 4.5 — JSON

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

{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "bedrock",
  "authType": "api_key",
  "model": "claude-haiku-4-5",
  "wireId": "{scope}.anthropic.claude-haiku-4-5-20251001-v1:0",
  "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"
    },
    {
      "path": "additionalModelRequestFields.top_k",
      "label": "Top K",
      "description": "Limits token sampling to the top K most likely next tokens. Converse carries it through additionalModelRequestFields; it is not part of inferenceConfig.",
      "group": "sampling",
      "type": "integer",
      "range": {
        "min": 0
      }
    },
    {
      "path": "additionalModelRequestFields.thinking.type",
      "label": "Thinking mode",
      "description": "Controls Anthropic extended thinking on Bedrock. Bedrock rejects the adaptive mode the first-party Anthropic API accepts, so only disabled and enabled are listed here.",
      "group": "reasoning",
      "type": "enum",
      "default": "disabled",
      "values": [
        "disabled",
        "enabled"
      ]
    },
    {
      "path": "additionalModelRequestFields.thinking.budget_tokens",
      "label": "Budget tokens",
      "description": "Maximum token budget the model may use for extended thinking before producing the final answer. Must be less than inferenceConfig.maxTokens.",
      "group": "reasoning",
      "applicability": {
        "only": {
          "additionalModelRequestFields.thinking.type": "enabled"
        }
      },
      "type": "integer",
      "range": {
        "min": 1024
      }
    }
  ]
}

Other Bedrock models

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 120B 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