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Codestral-22B vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 1.2% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
1 year newer
Codestral-22B
Mistral AI
2024-05-29
Grok-4 Heavy
xAI
2025-07-09
Average performance across 13 common benchmarks
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Codestral-22B
Average Score:35.5%
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Grok-4 Heavy
Average Score:36.7%(+1.2%)
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Knowledge Cutoff
Training data recency comparison
Grok-4 Heavy
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Grok-4 Heavy
0 providers
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Codestral-22B
Avg Score:35.5%
Providers:0
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Grok-4 Heavy
Avg Score:36.7%(+1.2%)
Providers:0