+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Devstral Small 1.1 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 37.6% higher average benchmark score. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
+
+
+
+
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 Small 1.1
Mistral AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Devstral Small 1.1
Average Score:13.4%
+
+
+
+
Phi 4 Mini Reasoning
Average Score:51.0%(+37.6%)
+
+
+
+
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
+
+
+
+
Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
Phi 4 Mini Reasoning
+
+
+
+
Devstral Small 1.1
Avg Score:13.4%
Providers:1
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:51.0%(+37.6%)
Providers:0