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Pixtral Large vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 1.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
2 months newer
Pixtral Large
Mistral AI
2024-11-18
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Pixtral Large
Average Score:84.8%
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Qwen2.5 VL 72B Instruct
Average Score:86.1%(+1.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Pixtral Large
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Qwen2.5 VL 72B Instruct
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Pixtral Large
Avg Score:84.8%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:86.1%(+1.3%)
Providers:0