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DeepSeek-V2.5 vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 1.9% higher average benchmark score. Mistral Small 3.1 24B Instruct supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Mistral Small 3.1 24B Instruct was developed as the instruction-tuned version of the 3.1 base model, designed to deliver improved instruction-following with refinements from the updated architecture. Built to serve diverse applications with enhanced reliability, it advances the Small model line's capabilities.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V2.5
Average Score:81.4%(+1.9%)
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Mistral Small 3.1 24B Instruct
Average Score:79.4%
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:81.4%(+1.9%)
Providers:3
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Mistral Small 3.1 24B Instruct
Avg Score:79.4%
Providers:0