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Codestral-22B vs Grok-2
Comprehensive side-by-side LLM comparison
Grok-2 leads with 10.8% higher average benchmark score. Grok-2 supports multimodal inputs. Overall, Grok-2 is the stronger choice for coding tasks.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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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.
2 months newer
Codestral-22B
Mistral AI
2024-05-29
Grok-2
xAI
2024-08-13
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Codestral-22B
Average Score:32.9%
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Grok-2
Average Score:43.7%(+10.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Grok-2
1 providers
xAI
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Codestral-22B
Avg Score:32.9%
Providers:0
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Grok-2
Avg Score:43.7%(+10.8%)
Providers:1