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Pixtral-12B vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 4.4% higher average benchmark score. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
Qwen 2.5 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
2 days newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Pixtral-12B
Average Score:63.1%
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Qwen2.5-Coder 7B Instruct
Average Score:67.5%(+4.4%)
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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Qwen2.5-Coder 7B Instruct
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Pixtral-12B
Avg Score:63.1%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:67.5%(+4.4%)
Providers:0