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DeepSeek R1 Zero vs Mistral Large 2
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 14.7% higher average benchmark score. Mistral Large 2 is available on 2 providers. Overall, Mistral Large 2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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.
6 months newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek R1 Zero
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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DeepSeek R1 Zero
Average Score:34.0%
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Mistral Large 2
Average Score:48.7%(+14.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Mistral Large 2
2 providers
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DeepSeek R1 Zero
Avg Score:34.0%
Providers:0
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Mistral Large 2
Avg Score:48.7%(+14.7%)
Providers:2