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Phi 4 Reasoning vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 1.1% higher average benchmark score. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Pixtral-12B
Mistral AI
2024-09-17
Phi 4 Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Phi 4 Reasoning
Average Score:37.6%(+1.1%)
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Pixtral-12B
Average Score:36.5%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Reasoning
0 providers
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Pixtral-12B
1 providers
Mistral AI
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Phi 4 Reasoning
Avg Score:37.6%(+1.1%)
Providers:0
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Pixtral-12B
Avg Score:36.5%
Providers:1