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Grok 4.20 Experimental Beta 0304 Reasoning

xAI

At a glance

Price per 1M tokens (input)
$1.25
Price per 1M tokens (output)
$2.50
Context
1,000,000 tokens
Free access
yes (see below)

Refreshed daily; data verified September 25, 2026. Published September 25, 2026.

Grok 4.20 Experimental Beta 0304 Reasoning by xAI is designed for developers and technical teams building applications that require multimodal understanding and autonomous reasoning. It supports tasks such as interpreting visual inputs, executing predefined functions through tool calling, and breaking down complex problems into sequential reasoning steps. The model distinguishes itself by integrating image analysis with structured reasoning and external tool use within a single framework, enabling more context-aware and action-oriented responses. xAI's approach emphasizes alignment with real-world utility through iterative reasoning and function execution rather than passive generation alone.

Specifications & pricing

Input (per 1M tokens)$1.25
Output (per 1M tokens)$2.50
Cache read (per 1M tokens)$0.20
Context window1,000,000 tokens
Max output1,000,000 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified September 25, 2026. Official xAI pricing.

What Grok 4.20 Experimental Beta 0304 Reasoning would cost on your workload — run it through the cost calculator →

Where to try Grok 4.20 Experimental Beta 0304 Reasoning for free

  • xAI offers a free chat — Grok (limited free access). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.

Frequently asked questions

What types of tasks is this model best suited for?+

This model excels in scenarios needing both visual interpretation and decision-making, such as analyzing diagrams to suggest next steps, interpreting charts for business insights, or guiding workflows where image input must trigger specific actions via connected tools.

How does tool calling work in this model?+

Tool calling allows the model to invoke predefined functions — like querying a database or sending an API request — when it determines that external action is needed to complete a task, enabling it to go beyond text generation and perform real-world operations.

How does this version differ from earlier Grok models?+

This experimental release focuses on enhanced reasoning depth and improved integration between image understanding and tool use, aiming for more reliable step-by-step problem solving compared to prior versions that emphasized general language fluency.

What are current limitations users should know about?+

As an experimental beta, the model may occasionally misinterpret complex visuals or invoke tools in suboptimal ways; performance can vary across domains, and it is not yet recommended for high-stakes automated decisions without human oversight.

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