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DeepSeek-V2.5 vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Small 3 24B Instruct offers 47.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. 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 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
8 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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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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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($0.21 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V2.5
Average Score:82.5%(+0.9%)
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Mistral Small 3 24B Instruct
Average Score:81.6%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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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:82.5%(+0.9%)
Providers:3
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Mistral Small 3 24B Instruct
Avg Score:81.6%
Providers:2