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Gemini 1.0 Pro vs o3-pro
Comprehensive side-by-side LLM comparison
o3-pro offers 259.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $98.00 cheaper per million tokens. o3-pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
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 1.0 Pro
2024-02-15
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($98.00 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 1.0 Pro
Average Score:48.4%(+48.4%)
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o3-pro
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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o3-pro
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Gemini 1.0 Pro
Avg Score:48.4%(+48.4%)
Providers:1
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o3-pro
Avg Score:0.0%
Providers:1