modelparams.dev
xAI 5 params

xAI Grok 4.20 0309 Reasoning parameters

These are the parameters modelparams.dev tracks for xAI Grok 4.20 0309 Reasoning. 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 completion tokens
max_completion_tokens
integer (1…+∞) Upper bound for visible output tokens generated in the chat completion.
Sampling 3 params
Parameter Type Default Description Condition
Temperature
temperature
number (0…2 step 0.1) 1 Controls randomness. Lower values make outputs more focused; higher values make them more varied.
Top P
top_p
number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.
Seed
seed
integer Optional seed used for decoding when reproducible sampling is desired.
Output 1 param
Parameter Type Default Description Condition
Response format
response_format.type
enum (text | json_object | json_schema) "text" Controls whether the model returns text, JSON mode output, or structured JSON schema output.

xAI Grok 4.20 0309 Reasoning API parameters in brief

xAI Grok 4.20 0309 Reasoning documents 5 API parameters, grouped by what they control:

Frequently asked questions

How many parameters does xAI Grok 4.20 0309 Reasoning accept?
xAI Grok 4.20 0309 Reasoning accepts 5 API parameters: max_completion_tokens, temperature, top_p, seed, response_format.type.
What is the default temperature for xAI Grok 4.20 0309 Reasoning?
The default temperature for xAI Grok 4.20 0309 Reasoning is 1, within a valid range of 0 to 2.
What is the default top_p for xAI Grok 4.20 0309 Reasoning?
The default top_p for xAI Grok 4.20 0309 Reasoning is 1, within a valid range of 0 to 1.

Resources

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Grok 4.20 0309 Reasoning — 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": "xai",
  "authType": "api_key",
  "model": "grok-4.20-0309-reasoning",
  "params": [
    {
      "path": "max_completion_tokens",
      "label": "Max completion tokens",
      "description": "Upper bound for visible output tokens generated in the chat completion.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "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": "top_p",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
      "group": "sampling",
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "seed",
      "label": "Seed",
      "description": "Optional seed used for decoding when reproducible sampling is desired.",
      "group": "sampling",
      "type": "integer"
    },
    {
      "path": "response_format.type",
      "label": "Response format",
      "description": "Controls whether the model returns text, JSON mode output, or structured JSON schema output.",
      "group": "output_format",
      "type": "enum",
      "default": "text",
      "values": [
        "text",
        "json_object",
        "json_schema"
      ]
    }
  ]
}

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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.

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# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json

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