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Gemini 2.5 Pro vs o1-preview
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 22.5% higher average benchmark score. Gemini 2.5 Pro offers 953.3K more tokens in context window than o1-preview. Gemini 2.5 Pro is $63.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
8 months newer
o1-preview
OpenAI
2024-09-12
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00($63.75 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 2.5 Pro
Average Score:72.3%(+22.5%)
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o1-preview
Average Score:49.7%
Performance comparison across key benchmark categories
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Gemini 2.5 Pro
Coding63.2%(+21.9%)
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o1-preview
Coding41.3%
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Knowledge Cutoff
Training data recency comparison
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:72.3%(+22.5%)
Providers:2
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o1-preview
Avg Score:49.7%
Providers:2