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Nova Pro vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K 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 Amazon's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Nova Pro
Amazon
2024-11-20
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Performance Metrics
Context window and performance specifications
Average performance across 52 common benchmarks
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Nova Pro
Average Score:38.0%
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Qwen2.5 VL 72B Instruct
Average Score:38.6%(+0.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Nova Pro
1 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
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Qwen2.5 VL 72B Instruct
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Nova Pro
Avg Score:38.0%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:38.6%(+0.6%)
Providers:0