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Pixtral Large vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
2 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Pixtral Large
Mistral AI
2024-11-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Pixtral Large
Average Score:88.1%
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Qwen2-VL-72B-Instruct
Average Score:88.3%(+0.2%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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-VL-72B-Instruct
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Pixtral Large
Avg Score:88.1%
Providers:1
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Qwen2-VL-72B-Instruct
Avg Score:88.3%(+0.2%)
Providers:0