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Pixtral-12B vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 12.7% higher average benchmark score. Pixtral-12B supports multimodal inputs. Overall, Qwen2.5 14B 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 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). 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 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Pixtral-12B
Average Score:32.1%
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Qwen2.5 14B Instruct
Average Score:44.8%(+12.7%)
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 14B Instruct
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Pixtral-12B
Avg Score:32.1%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:44.8%(+12.7%)
Providers:0