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Devstral Small 1.1 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Small was developed as a more efficient development-focused model, designed to bring software engineering assistance to resource-conscious deployments. Built to provide coding capabilities with reduced computational requirements, it enables developer tools in environments where efficiency is paramount.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
10 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Devstral Small 1.1
Mistral AI
2025-07-11
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Performance Metrics
Context window and performance specifications
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-vision-instruct
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:0.0%
Providers:0