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Gemini 1.0 Pro vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 5.9% higher average benchmark score. o1-preview offers 119.8K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $73.00 cheaper per million tokens. Overall, o1-preview 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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OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
7 months newer
Gemini 1.0 Pro
2024-02-15
o1-preview
OpenAI
2024-09-12
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($73.00 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 1.0 Pro
Average Score:31.1%
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o1-preview
Average Score:37.0%(+5.9%)
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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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o1-preview
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Gemini 1.0 Pro
Avg Score:31.1%
Providers:1
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o1-preview
Avg Score:37.0%(+5.9%)
Providers:2