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Codestral-22B vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 23.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Codestral-22B 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 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
7 months newer
Codestral-22B
Mistral AI
2024-05-29
Gemini 2.0 Flash Thinking
2025-01-21
Average performance across 10 common benchmarks
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Codestral-22B
Average Score:46.1%(+23.8%)
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Gemini 2.0 Flash Thinking
Average Score:22.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
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 2.0 Flash Thinking
0 providers
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Codestral-22B
Avg Score:46.1%(+23.8%)
Providers:0
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Gemini 2.0 Flash Thinking
Avg Score:22.3%
Providers:0