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Devstral Small 1.1 vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 57.5% higher average benchmark score. Devstral Small 1.1 offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, Phi 4 is the stronger choice for coding tasks.
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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.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi 4
Microsoft
2024-12-12
Devstral Small 1.1
Mistral AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30
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Phi 4
Input:$0.07
Output:$0.14($0.19 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Devstral Small 1.1
Average Score:3.8%
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Phi 4
Average Score:61.3%(+57.5%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
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 Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Phi 4
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Devstral Small 1.1
Avg Score:3.8%
Providers:1
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Phi 4
Avg Score:61.3%(+57.5%)
Providers:1