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Pixtral Large vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Pixtral Large 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 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
2 months newer
Pixtral Large
Mistral AI
2024-11-18
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Pixtral Large
Average Score:81.8%(+1.3%)
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Qwen2.5 VL 7B Instruct
Average Score:80.5%
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 7B Instruct
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Pixtral Large
Avg Score:81.8%(+1.3%)
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:80.5%
Providers:0