Grok 3 Mini
Version: 1
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Key capabilities
About this model
Grok 3 Mini delivers state-of-the-art results across diverse academic benchmarks among non-reasoning models, including: Graduate-level science knowledge (GPQA), General knowledge (MMLU-Pro), and Math competition problems (AIME).Key model capabilities
- Extended Context Length: With an extended context length of up to 16k tokens (131K coming soon), Grok 3 Mini processes and understands vast datasets in a single pass—ideal for comprehensive analysis of large documents or complex workflows.
- Exposed Reasoning Tokens: Unlike traditional black-box thinking models, Grok 3 Mini offers unparalleled transparency, letting its users inspect its reasoning tokens. This transparency is a game-changer for enterprises and educators needing to understand the "why" behind answers—reflecting xAI's commitment to openness.
- Steerability & Chain of Command: Grok 3 Mini is extremely steerable and follows instructions closely. The model is less likely to refuse queries, providing more helpful responses while maintaining safety and ethical standards.
- Reasoning effort parameter: For more fine grained control over the model's performance, Grok 3 Mini supports the reasoning effort parameter, which allows users to adjust the model's thinking effort with options for low and high reasoning levels.
- Structured outputs: Grok 3 Mini model supports structured outputs, enabling developers to specify JSON schemas for AI-powered automations.
- Functions and Tools support: Similar to other xAI models, Grok 3 Mini supports functions and external tools that enable enterprises to build agentic workflows.
| Category | Benchmark | Grok 3 Mini (High) Score (%) |
|---|---|---|
| Math Competition | AIME 2024 | 90.7 |
| Graduate-Level Reasoning | GPQA | 80.3 |
| Code Generation | LiveCodeBench | 74.8 |
| Multi-Task Language Understanding | MMLU-pro | 82.8 |
| Average | 82.2 |
Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
The model is optimized for logic-based tasks, such as:- Coding environments: working inside codebases and local development environments.
- Agentic workflows: building robust LLM ontologies and agent architectures.
- Reasoning tasks: difficult mathematics and science based questions.
Out of scope use cases
The provider has not supplied this information.Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
The model was trained via reinforcement learning with a focus on reasoning for agentic coding tasks, and excels at utilizing tools to solve complex logical problems in novel environments.Training cut-off date
The provider has not supplied this information.Training time
The provider has not supplied this information.Input formats
The provider has not supplied this information.Output formats
Grok 3 Mini model supports structured outputs, enabling developers to specify JSON schemas for AI-powered automations.Supported languages
English, Spanish, French, Afrikaans, Arabic, Bengali, Welsh, German, Greek, Indonesian, Icelandic, Italian, Japanese, Korean, Latvian, Marathi, Nepali, Punjabi, Polish, Russian, Swahili, Telugu, Thai, Turkish, Ukrainian, Urdu, and Chinese.Sample JSON response
The provider has not supplied this information.Model architecture
The provider has not supplied this information.Long context
Grok 3 Mini supports a 131,072 token context window for understanding codebases and enterprise documents. With an extended context length of up to 16k tokens (131K coming soon), Grok 3 Mini processes and understands vast datasets in a single pass—ideal for comprehensive analysis of large documents or complex workflows.Optimizing model performance
For more fine grained control over the model's performance, Grok 3 Mini supports the reasoning effort parameter, which allows users to adjust the model's thinking effort with options for low and high reasoning levels.Additional assets
The provider has not supplied this information.Training disclosure
Training, testing and validation
The provider has not supplied this information.Distribution
Distribution channels
The provider has not supplied this information.More information
Model developer: xAI Model Release Date: May 19, 2025Responsible AI considerations
Safety techniques
The provider has not supplied this information.Safety evaluations
The provider has not supplied this information.Known limitations
The provider has not supplied this information.Acceptable use
Acceptable use policy
The provider has not supplied this information.Quality and performance evaluations
Source: xAI To understand its capabilities, xAI evaluated Grok 3 Mini (High) on a variety of benchmarks using their internal benchmarking platform. Grok 3 Mini (High) delivers state-of-the-art results across diverse academic benchmarks among non-reasoning models, including: Graduate-level science knowledge (GPQA), General knowledge (MMLU-Pro), and Math competition problems (AIME). Below is a high-level overview of the model quality on representative benchmarks:| Category | Benchmark | Grok 3 Mini (High) Score (%) |
|---|---|---|
| Math Competition | AIME 2024 | 90.7 |
| Graduate-Level Reasoning | GPQA | 80.3 |
| Code Generation | LiveCodeBench | 74.8 |
| Multi-Task Language Understanding | MMLU-pro | 82.8 |
| Average | 82.2 |
Benchmarking methodology
Source: xAI The provider has not supplied this information.Public data summary
Source: xAI The provider has not supplied this information.Model Specifications
Context Length131072
Quality Index0.87
LicenseCustom
Last UpdatedOctober 2025
Input TypeText
Output TypeText
ProviderxAI
Languages27 Languages
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