Grok

xAI: grok-4.20-reasoning:free

grok-4.20-reasoning:free
262K context2M outReasoningToolsFilesCacheStructuredWeb search
Released Mar 31, 2026Knowledge cutoff 2025Updated Mar 31, 2026

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses. Reasoning can be enabled/disabled using the reasoning enabled parameter in the API. Learn more in our docs

Mode chatTokenizer Grok

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Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 262K tokensCompatible endpoints openaiVendor xAI

Performance

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltySome providersNot sent by default
include_reasoningAll providers-
logprobsAll providers-
max_tokensAll providers-
presence_penaltySome providersNot sent by default
reasoningAll providers-
repetition_penaltySome providersNot sent by default
response_formatAll providers-
seedAll providers-
structured_outputsAll providers-
temperatureAll providersNot sent by default
tool_choiceAll providers-
toolsAll providers-
top_kSome providersNot sent by default
top_logprobsAll providers-
top_pAll providersNot sent by default

Frequently asked questions

How much does grok-4.20-reasoning:free cost per 1M tokens?

Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.

How do I access grok-4.20-reasoning:free via API?

Send requests to the UnoRouter /v1/chat/completions endpoint with model=grok-4.20-reasoning:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.

What is the context window of grok-4.20-reasoning:free?

grok-4.20-reasoning:free supports a context window of 262K tokens, shared between your prompt and the model's response.

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