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Gemini 1.0 Pro vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 40.2% higher average benchmark score. o1 offers 259.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $73.00 cheaper per million tokens. Overall, o1 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 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.
10 months newer
Gemini 1.0 Pro
2024-02-15
o1
OpenAI
2024-12-17
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
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemini 1.0 Pro
Average Score:18.9%
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o1
Average Score:59.1%(+40.2%)
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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
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Gemini 1.0 Pro
Avg Score:18.9%
Providers:1
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o1
Avg Score:59.1%(+40.2%)
Providers:2