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Gemini 1.0 Pro vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 49.7% higher average benchmark score. Nova Pro offers 559.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $2.00 cheaper per million tokens. Nova Pro supports multimodal inputs. Overall, Nova Pro is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
9 months newer
Gemini 1.0 Pro
2024-02-15
Nova Pro
Amazon
2024-11-20
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($2.00 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Gemini 1.0 Pro
Average Score:14.1%
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Nova Pro
Average Score:63.7%(+49.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Nova Pro
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Gemini 1.0 Pro
Avg Score:14.1%
Providers:1
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Nova Pro
Avg Score:63.7%(+49.7%)
Providers:1