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Phi-3.5-MoE-instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 6.6% higher average benchmark score. Pixtral-12B 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 was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
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Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
25 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Pixtral-12B
Mistral AI
2024-09-17
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:69.7%(+6.6%)
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Pixtral-12B
Average Score:63.1%
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-12B
1 providers
Mistral AI
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Phi-3.5-MoE-instruct
Avg Score:69.7%(+6.6%)
Providers:0
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Pixtral-12B
Avg Score:63.1%
Providers:1