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Pixtral Large vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 20.7% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
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Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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. 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 months newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Pixtral Large
Mistral AI
2024-11-18
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Pixtral Large
Average Score:21.7%
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Qwen2.5-Coder 7B Instruct
Average Score:42.4%(+20.7%)
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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Qwen2.5-Coder 7B Instruct
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Pixtral Large
Avg Score:21.7%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:42.4%(+20.7%)
Providers:0