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Devstral Small 1.1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 55.2% higher average benchmark score. Both models have similar pricing. Overall, Phi-3.5-mini-instruct 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-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 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-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Devstral Small 1.1
Average Score:1.7%
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Phi-3.5-mini-instruct
Average Score:56.9%(+55.2%)
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-3.5-mini-instruct
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Devstral Small 1.1
Avg Score:1.7%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:56.9%(+55.2%)
Providers:1