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Devstral Medium vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 54.1% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.
14 days newer
Gemma 3n E4B
2025-06-26
Devstral Medium
Mistral AI
2025-07-10
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Devstral Medium
Average Score:5.1%
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Gemma 3n E4B
Average Score:59.2%(+54.1%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Gemma 3n E4B
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Devstral Medium
Avg Score:5.1%
Providers:1
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Gemma 3n E4B
Avg Score:59.2%(+54.1%)
Providers:0