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DeepSeek-V3.2-Exp vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 25.6% higher average benchmark score. Mistral Large 2 offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $7.32 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
1 year newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($7.32 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:48.7%(+25.6%)
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Mistral Large 2
Average Score:23.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Mistral Large 2
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DeepSeek-V3.2-Exp
Avg Score:48.7%(+25.6%)
Providers:2
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Mistral Large 2
Avg Score:23.1%
Providers:2