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Phi-3.5-MoE-instruct vs Pixtral Large
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 38.7% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft'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
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Pixtral Large
Mistral AI
2024-11-18
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:53.5%(+38.7%)
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Pixtral Large
Average Score:14.8%
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Pixtral Large
1 providers
Mistral AI
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Phi-3.5-MoE-instruct
Avg Score:53.5%(+38.7%)
Providers:0
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Pixtral Large
Avg Score:14.8%
Providers:1