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Gemini 1.5 Pro vs o3-pro
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro offers 1.8M more tokens in context window than o3-pro. Gemini 1.5 Pro is $87.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 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.
1 year newer
Gemini 1.5 Pro
2024-05-01
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00($87.50 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemini 1.5 Pro
Average Score:72.6%(+72.6%)
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o3-pro
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
o3-pro
2024-05-31
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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o3-pro
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Gemini 1.5 Pro
Avg Score:72.6%(+72.6%)
Providers:1
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o3-pro
Avg Score:0.0%
Providers:1