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Gemini 2.5 Pro vs o1-pro
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 59.3% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
5 months newer
o1-pro
OpenAI
2024-12-17
Gemini 2.5 Pro
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Gemini 2.5 Pro
Average Score:69.6%(+59.3%)
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o1-pro
Average Score:10.3%
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:69.6%(+59.3%)
Providers:2
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o1-pro
Avg Score:10.3%
Providers:0