Extended Thinking
Supports step-by-step reasoning before producing a final response, allowing the model to work through multi-step or complex problems more carefully.
Grok 3 Mini Fast Beta is a compact text generation model developed by xAI, the AI division of X. It belongs to the Grok 3 model family and is designed to deliver faster response times compared to the full Grok 3 models, making it suitable for latency-sensitive applications. The model supports extended thinking, function calling, and real-time web search, and operates with a 131,072-token context window. Grok 3 Mini Fast Beta is well-suited for developers and businesses building high-throughput applications that require reasoning capability without the overhead of a larger model. Practical use cases include question answering, document summarization, data extraction, and tool-augmented agentic workflows. Its combination of speed, extended context, and tool integration makes it a practical option for production environments where response time is a priority.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for Grok 3 Mini Fast.
Grok 3 Mini Fast Beta is a compact text generation model developed by xAI, the AI division of X. It belongs to the Grok 3 model family and is designed to deliver faster response times compared to the full Grok 3 models, making it suitable for latency-sensitive applications. The model supports extended thinking, function calling, and real-time web search, and operates with a 131,072-token context window.
Grok 3 Mini Fast Beta is well-suited for developers and businesses building high-throughput applications that require reasoning capability without the overhead of a larger model. Practical use cases include question answering, document summarization, data extraction, and tool-augmented agentic workflows. Its combination of speed, extended context, and tool integration makes it a practical option for production environments where response time is a priority.
Supports step-by-step reasoning before producing a final response, allowing the model to work through multi-step or complex problems more carefully.
Enables the model to invoke external functions and tools, supporting integration into agentic and automated workflows.
Allows the model to retrieve real-time information from the web, enabling responses that reflect current events and up-to-date data.
Handles up to 131,072 tokens in a single session, accommodating long documents, extended conversations, and complex multi-part inputs.
Optimized for low-latency responses within the Grok 3 family, making it suitable for high-throughput production applications.
Generates coherent, contextually relevant text for tasks including summarization, question answering, and data extraction.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Additional usage-cost dimensions synced into the project for this model.
Places where this model is available, based on the synced detail-page metadata.
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2024
American math olympiad problems
|
|
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
|
|
MATH-500
Undergraduate and competition-level math problems
|
|
|
MMLU-Pro
Expert knowledge across 14 academic disciplines
|
|
|
SciCode
Scientific research coding and numerical methods
|
Official model cards, release notes, docs, and other references synced from the source page.
Grok 3 Mini Fast Beta supports a context window of 131,072 tokens, allowing it to process long documents and extended multi-turn conversations in a single session.
Pricing details are available on the xAI Models and Pricing page at https://docs.x.ai/developers/models.
Based on available metadata, the model's training data has a cutoff of April 2025.
Yes, the model supports function calling, enabling developers to integrate it into agentic workflows where it can invoke external tools and APIs.
Grok 3 Mini Fast Beta is a smaller, faster variant within the Grok 3 family, prioritizing lower latency and efficiency while retaining reasoning capabilities such as extended thinking and web search.
Continue browsing adjacent models from the same provider.