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Devstral Small 1.1 vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout offers 19.7M more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. 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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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
3 months newer
Llama 4 Scout
Meta
2025-04-05
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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Llama 4 Scout
Input:$0.08
Output:$0.30($0.02 cheaper)
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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Llama 4 Scout
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Devstral Small 1.1
Avg Score:0.0%
Providers:1
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Llama 4 Scout
Avg Score:0.0%
Providers:6