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Pixtral-12B vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 6.5% higher average benchmark score. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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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.
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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.
19 days newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Pixtral-12B
Mistral AI
2024-09-17
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Pixtral-12B
Average Score:81.8%
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Qwen2-VL-72B-Instruct
Average Score:88.3%(+6.5%)
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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-12B
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-12B
Avg Score:81.8%
Providers:1
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Qwen2-VL-72B-Instruct
Avg Score:88.3%(+6.5%)
Providers:0