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DeepSeek-V3.1 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 23.7% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Mistral Large 2. DeepSeek-V3.1 is $6.73 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek-V3.1
DeepSeek
2025-01-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($6.73 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-V3.1
Average Score:44.5%(+23.7%)
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Mistral Large 2
Average Score:20.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Mistral Large 2
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DeepSeek-V3.1
Avg Score:44.5%(+23.7%)
Providers:2
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Mistral Large 2
Avg Score:20.9%
Providers:2