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Pixtral Large vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 3.8% 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 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
3 months newer
Pixtral Large
Mistral AI
2024-11-18
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Pixtral Large
Average Score:78.6%
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Qwen2.5 VL 32B Instruct
Average Score:82.4%(+3.8%)
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 32B Instruct
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Pixtral Large
Avg Score:78.6%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:82.4%(+3.8%)
Providers:0