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Codestral-22B vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 29.6% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
9 months newer
Codestral-22B
Mistral AI
2024-05-29
Gemma 3 4B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Codestral-22B
Average Score:14.9%
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Gemma 3 4B
Average Score:44.4%(+29.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
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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Gemma 3 4B
1 providers
DeepInfra
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Codestral-22B
Avg Score:14.9%
Providers:0
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Gemma 3 4B
Avg Score:44.4%(+29.6%)
Providers:1