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DeepSeek-V2.5 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Large 2 offers 239.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $7.58 cheaper per million tokens. 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 Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral Large 2
Mistral AI
2024-07-24
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($7.58 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V2.5
Average Score:88.7%
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Mistral Large 2
Average Score:88.8%(+0.2%)
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:88.7%
Providers:3
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Mistral Large 2
Avg Score:88.8%(+0.2%)
Providers:2