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DeepSeek R1 Zero vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 23.4% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Pixtral Large 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
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Pixtral Large
Mistral AI
2024-11-18
DeepSeek R1 Zero
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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DeepSeek R1 Zero
Average Score:27.8%
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Pixtral Large
Average Score:51.2%(+23.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Pixtral Large
1 providers
Mistral AI
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DeepSeek R1 Zero
Avg Score:27.8%
Providers:0
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Pixtral Large
Avg Score:51.2%(+23.4%)
Providers:1