Grok 4.20 Beta Latest Non Reasoning
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 Beta Latest Non Reasoning by xAI is designed for developers and technical teams building applications that require visual input processing and integration with external systems. It supports tasks such as analyzing images for content recognition and executing predefined functions through tool calling, which allows the model to interact with APIs or software components based on user prompts. This variant emphasizes practical utility in multimodal workflows without engaging in extended reasoning chains, making it suitable for real-time or latency-sensitive use cases. xAI’s approach focuses on aligning model behavior with observable actions and verifiable outputs, prioritizing reliability in structured environments over open-ended speculation.
Specifications & pricing
| Input (per 1M tokens) | $1.25 |
|---|---|
| Output (per 1M tokens) | $2.50 |
| Cache read (per 1M tokens) | $0.20 |
| Context window | 1,000,000 tokens |
| Max output | 1,000,000 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified September 25, 2026. Official xAI pricing.
Where to try Grok 4.20 Beta Latest Non 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 is effective for applications that involve interpreting visual data and triggering automated responses via external tools, such as processing scanned documents, monitoring visual feeds for anomalies, or enabling voice-to-action pipelines where image understanding initiates a function call.
How does tool calling work in this model?+
Tool calling enables the model to request execution of predefined functions by generating structured calls that external systems can interpret and act upon, allowing seamless integration with databases, APIs, or custom software without requiring the model to perform the underlying logic itself.
How does this version differ from other Grok models in the line?+
Unlike reasoning-focused variants, this model does not generate intermediate thought chains or self-reflective outputs, instead prioritizing direct responses to image and tool-based prompts, which can improve speed and predictability in production settings.
What should users be aware of regarding its limitations?+
The model does not engage in complex reasoning or long-form planning, so it may not be suitable for tasks requiring multi-step logical deduction, abstract problem solving, or handling ambiguous inputs without clear visual or functional cues.
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