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DeepSeek-V3 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 4.5% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Mistral Large 2. DeepSeek-V3 is $6.63 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
5 months newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($6.63 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3
Average Score:88.5%(+4.5%)
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Mistral Large 2
Average Score:84.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Mistral Large 2
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DeepSeek-V3
Avg Score:88.5%(+4.5%)
Providers:1
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Mistral Large 2
Avg Score:84.0%
Providers:2