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Text Generation Model

Grok 4.20 Reasoning

A beta reasoning variant of xAI's Grok 4.20, designed for enhanced step-by-step thinking and complex problem-solving.

Publisher X.ai
Type Text
Context Window 2,000,000 tokens
Training Data March 2026
Input $2.00/MTok
Output $6.00/MTok

Step-by-step reasoning for complex analytical tasks

Grok 4.20 Reasoning is an experimental, reasoning-focused text generation model developed by xAI, the AI division of X. It is part of the Grok 4.20 beta series and is specifically designed to work through problems using deliberate, multi-step thinking before producing a response. This approach improves accuracy on tasks where a direct answer is likely to fall short, such as mathematical problem-solving, logical analysis, and scientific reasoning.

The model supports a context window of 2,000,000 tokens, allowing it to process and reason over very long documents or extended conversation histories in a single pass. It is accessible through the xAI inference provider via the Inworld Router or Realtime API, making it straightforward to integrate into developer applications. Use cases where it is particularly well-suited include research assistance, code debugging, nuanced question answering, and any workflow that benefits from structured, step-by-step analysis.

What Grok 4.20 Reasoning supports

Multi-Step Reasoning

Processes problems through deliberate, sequential reasoning steps before generating a response, improving accuracy on complex analytical and logical tasks.

Large Context Window

Supports a context window of 2,000,000 tokens, enabling processing of very long documents or extended conversation histories in a single request.

Mathematical Problem-Solving

Applies structured reasoning to mathematical challenges, working through equations and proofs step by step rather than producing a direct answer.

Code Debugging

Analyzes code to identify errors and trace logic issues using multi-step reasoning, making it useful for diagnosing non-obvious bugs.

Scientific Reasoning

Handles research and science-oriented queries by reasoning through hypotheses, evidence, and conclusions in a structured manner.

API Integration

Accessible via the xAI inference provider through the Inworld Router or Realtime API, supporting integration into developer applications and A/B testing configurations.

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Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

Benchmark What it tests Score
GPQA Diamond PhD-level science questions (biology, physics, chemistry) 88.5%
HLE Questions that challenge frontier models across many domains 30.0%
SciCode Scientific research coding and numerical methods 44.7%

Common questions about Grok 4.20 Reasoning

What is the context window size for Grok 4.20 Reasoning?

Grok 4.20 Reasoning supports a context window of 2,000,000 tokens, which allows it to process very long documents or extended conversation histories within a single request.

What is the training data cutoff for this model?

According to the available metadata, the training date for Grok 4.20 Reasoning is listed as March 2026.

How is Grok 4.20 Reasoning different from a standard Grok 4.20 model?

Grok 4.20 Reasoning is an experimental variant specifically designed to work through problems using deliberate, multi-step reasoning before generating a response. This is intended to improve accuracy on complex tasks compared to a standard generation approach.

How can I access Grok 4.20 Reasoning?

The model is available through the xAI inference provider and can be accessed via the Inworld Router or Realtime API. It can also be used directly through MindStudio without requiring separate API key management.

What types of tasks is Grok 4.20 Reasoning best suited for?

Based on the model's design, it is best suited for tasks that benefit from structured, multi-step analysis — including mathematical problem-solving, code debugging, scientific reasoning, research assistance, and nuanced question answering.

Parameters & options

Max Temperature 1
Max Response Size 2,000,000 tokens

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