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DeepSeek-V2.5 vs Devstral Small 1.1
Comprehensive side-by-side LLM comparison
Devstral Small 1.1 leads with 36.8% higher average benchmark score. Devstral Small 1.1 offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. DeepSeek-V2.5 is available on 3 providers. Overall, Devstral Small 1.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Devstral Small 1.1
Mistral AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Devstral Small 1.1
Input:$0.10
Output:$0.30($0.02 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V2.5
Average Score:16.8%
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Devstral Small 1.1
Average Score:53.6%(+36.8%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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Devstral Small 1.1
Coding53.6%(+36.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:16.8%
Providers:3
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Devstral Small 1.1
Avg Score:53.6%(+36.8%)
Providers:1