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Gemini 2.5 Pro vs o3-pro
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 814.1K more tokens in context window than o3-pro. Gemini 2.5 Pro is $88.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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
o3-pro is a multimodal language model developed by OpenAI. It supports a 300K 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 2025, it represents OpenAI's latest advancement in AI technology.
21 days newer
Gemini 2.5 Pro
2025-05-20
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00($88.75 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
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%(+69.6%)
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o3-pro
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
o3-pro
2024-05-31
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%(+69.6%)
Providers:2
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o3-pro
Avg Score:0.0%
Providers:1