Grok 4.20 Experimental Beta 0304 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 Experimental Beta 0304 Non Reasoning is designed for developers and technical teams who need a model that can interpret visual inputs and interact with external systems through tool calling, which allows the model to invoke predefined functions to retrieve data or perform actions. It is suited for tasks such as analyzing images to extract structured information, building agents that combine perception with decision-making, and creating workflows where visual understanding triggers automated responses via APIs. Unlike more general-purpose models, this variant emphasizes grounded interaction with tools and sensory data, reflecting xAI's focus on models that act as capable intermediaries between perception and execution in real-world applications.
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 Experimental Beta 0304 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 particularly effective for?+
This model works well when you need to understand images and use that understanding to trigger actions through external tools, such as identifying objects in a photo and then querying a database or updating a system based on what is seen.
How does tool calling function in practice with this model?+
Tool calling enables the model to request the execution of specific functions you have defined, such as fetching weather data or controlling a device, by generating a structured call that your system can interpret and act upon after the model processes an image or text input.
How does this Non Reasoning variant differ from other Grok 4.20 models?+
This version omits certain internal reasoning steps to prioritize speed and direct response generation, making it more suitable for applications where quick perception-to-action pipelines are valued over extended internal deliberation.
What should users be aware of regarding its limitations?+
Since it does not engage in extended reasoning, the model may struggle with tasks requiring multi-step logical inference or complex planning, and its performance depends heavily on the clarity of the image input and the quality of the defined tools.
Compare with others
Org chart: how to move your company onto AI
A practical map: which company roles and processes AI agents can take over, where to start, and in what order to roll it out.