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Devstral Small 1.1 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Phi-4-multimodal-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-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
5 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Devstral Small 1.1
Mistral AI
2025-07-11
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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-multimodal-instruct
Input:$0.05
Output:$0.10($0.25 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
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-multimodal-instruct
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1