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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 10.7% higher average benchmark score. Pixtral-12B supports multimodal inputs. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 days newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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Pixtral-12B
Average Score:28.7%
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Qwen2.5-Coder 7B Instruct
Average Score:39.3%(+10.7%)
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:28.7%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:39.3%(+10.7%)
Providers:0