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Magistral Small 2506 vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 28.2% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Pixtral Large is the stronger choice for coding tasks.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI'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.
6 months newer
Pixtral Large
Mistral AI
2024-11-18
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Magistral Small 2506
Average Score:23.0%
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Pixtral Large
Average Score:51.2%(+28.2%)
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Magistral Small 2506
0 providers
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Pixtral Large
1 providers
Mistral AI
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Magistral Small 2506
Avg Score:23.0%
Providers:0
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Pixtral Large
Avg Score:51.2%(+28.2%)
Providers:1