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Gemini Diffusion vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 43.1% higher average benchmark score. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.
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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.
6 months newer
Nova Pro
Amazon
2024-11-20
Gemini Diffusion
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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Gemini Diffusion
Average Score:13.4%
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Nova Pro
Average Score:56.5%(+43.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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Nova Pro
1 providers
Bedrock
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Gemini Diffusion
Avg Score:13.4%
Providers:0
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Nova Pro
Avg Score:56.5%(+43.1%)
Providers:1