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Codestral-22B vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 1.6% higher average benchmark score. 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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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
3 months newer
Gemini 1.0 Pro
2024-02-15
Codestral-22B
Mistral AI
2024-05-29
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Codestral-22B
Average Score:28.8%(+1.6%)
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Gemini 1.0 Pro
Average Score:27.2%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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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Gemini 1.0 Pro
1 providers
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Codestral-22B
Avg Score:28.8%(+1.6%)
Providers:0
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Gemini 1.0 Pro
Avg Score:27.2%
Providers:1