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Codestral-22B vs Gemini 1.5 Flash
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 36.0% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash 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 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M 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 Flash
2024-05-01
Codestral-22B
Mistral AI
2024-05-29
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Codestral-22B
Average Score:16.5%
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Gemini 1.5 Flash
Average Score:52.5%(+36.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
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 Flash
1 providers
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Codestral-22B
Avg Score:16.5%
Providers:0
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Gemini 1.5 Flash
Avg Score:52.5%(+36.0%)
Providers:1