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Codestral-22B vs Gemini 1.5 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 41.7% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro 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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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.
28 days newer
Gemini 1.5 Pro
2024-05-01
Codestral-22B
Mistral AI
2024-05-29
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Codestral-22B
Average Score:15.9%
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Gemini 1.5 Pro
Average Score:57.6%(+41.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
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Codestral-22B
Avg Score:15.9%
Providers:0
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Gemini 1.5 Pro
Avg Score:57.6%(+41.7%)
Providers:1