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Codestral-22B vs Gemini 2.5 Flash-Lite
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 3.5% higher average benchmark score. Gemini 2.5 Flash-Lite 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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Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, it represents Google's latest advancement in AI technology.
1 year newer
Codestral-22B
Mistral AI
2024-05-29
Gemini 2.5 Flash-Lite
2025-06-17
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Codestral-22B
Average Score:23.1%
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Gemini 2.5 Flash-Lite
Average Score:26.5%(+3.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
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Codestral-22B
Avg Score:23.1%
Providers:0
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Gemini 2.5 Flash-Lite
Avg Score:26.5%(+3.5%)
Providers:1