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Devstral Medium vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 35.6% higher average benchmark score. Overall, Phi 4 Mini Reasoning 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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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Devstral Medium
Mistral AI
2025-07-10
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Devstral Medium
Average Score:15.4%
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Phi 4 Mini Reasoning
Average Score:51.0%(+35.6%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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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Phi 4 Mini Reasoning
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Devstral Medium
Avg Score:15.4%
Providers:1
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Phi 4 Mini Reasoning
Avg Score:51.0%(+35.6%)
Providers:0