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Grok-2 vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Grok-2 leads with 3.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
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Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Grok-2
xAI
2024-08-13
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Grok-2
Average Score:55.7%(+3.3%)
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Mistral Small 3.1 24B Instruct
Average Score:52.4%
Provider Availability & Performance
Available providers and their performance metrics
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Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Instruct
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Grok-2
Avg Score:55.7%(+3.3%)
Providers:1
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Mistral Small 3.1 24B Instruct
Avg Score:52.4%
Providers:0