Grok 3 Mini
Grok 3 Mini is a text generation model from X.ai with a 131,072-token context window and configurable reasoning effort.
X.aiCompact reasoning model with adjustable thinking depth
Grok 3 Mini is a lightweight text generation model developed by X.ai, released in April 2025 as part of the Grok 3 model family. It operates with a 131,072-token context window and supports a configurable reasoning effort setting, allowing users to adjust how much computational thinking the model applies before generating a response. This makes it distinct from fixed-output models, as the reasoning depth can be tuned to balance speed against thoroughness.
Grok 3 Mini is designed for tasks where a smaller, more efficient model is preferred without fully sacrificing reasoning capability. It is well-suited for logic-based tasks, structured question answering, coding assistance, and scenarios where response cost or latency matters. The model outputs up to 8,192 tokens per response and accepts text input, making it a practical option for developers building applications that require controllable inference behavior.
What Grok 3 Mini supports
Adjustable Reasoning
Exposes a reasoning effort selector that lets users dial the model's thinking depth up or down before generating a response, trading latency for thoroughness.
Long Context Window
Supports up to 131,072 tokens of context, enabling processing of long documents, extended conversations, or large code files in a single request.
Text Generation
Generates natural language responses for tasks such as summarization, question answering, and instruction following, with a maximum response size of 8,192 tokens.
Code Assistance
Handles code generation, debugging, and explanation tasks across common programming languages, supported by its reasoning effort configuration for more deliberate output.
Structured Output
Can produce structured responses suitable for downstream parsing, useful in agent pipelines or applications requiring consistent data formats.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 82.8% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 79.1% |
| MATH-500 | Undergraduate and competition-level math problems | 99.2% |
| AIME 2024 | American math olympiad problems | 93.3% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 69.6% |
| HLE | Questions that challenge frontier models across many domains | 11.1% |
| SciCode | Scientific research coding and numerical methods | 40.6% |
Common questions about Grok 3 Mini
What is the context window size for Grok 3 Mini?
Grok 3 Mini supports a context window of 131,072 tokens, meaning it can process roughly 131,000 tokens of combined input and conversation history in a single request.
What does the Reasoning Effort setting do?
The Reasoning Effort input is a configurable selector that controls how much internal reasoning the model performs before producing a response. Higher effort may improve accuracy on complex tasks at the cost of increased latency.
What is the maximum response length?
Grok 3 Mini can generate up to 8,192 tokens per response.
Is pricing available for Grok 3 Mini?
Published pricing details are not included in the current metadata. For the latest pricing information, refer to X.ai's official documentation or the xAI API pricing page.
Does Grok 3 Mini support image or video input?
Based on the available metadata, Grok 3 Mini does not have confirmed support for image or video analysis. It is listed as a text generation model accepting text input.
When was Grok 3 Mini released?
Grok 3 Mini was released in April 2025 by X.ai as part of the Grok 3 model family.
What people think about Grok 3 Mini
Community discussion around Grok 3 Mini is generally positive regarding its mathematical reasoning, with Epoch AI's finding that it outperforms the larger Grok 3 model on math benchmarks at high reasoning effort drawing notable attention. Users in the r/singularity community highlighted this as a meaningful result for a smaller, more cost-efficient model.
Discussions do not surface significant concerns specific to Grok 3 Mini, though the broader context of rapidly shifting model rankings suggests users treat benchmark results as a snapshot rather than a permanent measure. The model is most frequently referenced in conversations about math and reasoning benchmarks rather than general-purpose use cases.
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GPT-5 is the new leader on the Step-Game benchmark. The benchmark tests strategic reasoning under uncertainty.
Documentation & links
Parameters & options
Control the thinking depth of the model.
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