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Devstral Medium vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 55.0% higher average benchmark score. Phi-3.5-mini-instruct is $2.20 cheaper per million tokens. Overall, Phi-3.5-mini-instruct 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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). 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 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Devstral Medium
Mistral AI
2025-07-10
Pricing Comparison
Cost per million tokens (USD)
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Devstral Medium
Input:$0.40
Output:$2.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Devstral Medium
Average Score:1.9%
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Phi-3.5-mini-instruct
Average Score:56.9%(+55.0%)
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-3.5-mini-instruct
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Devstral Medium
Avg Score:1.9%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:56.9%(+55.0%)
Providers:1