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Gemini 2.5 Pro vs o3-mini
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 13.7% higher average benchmark score. Gemini 2.5 Pro offers 814.1K more tokens in context window than o3-mini. o3-mini is $5.75 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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
3 months newer
o3-mini
OpenAI
2025-01-30
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
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o3-mini
Input:$1.10
Output:$4.40($5.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemini 2.5 Pro
Average Score:73.0%(+13.7%)
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o3-mini
Average Score:59.3%
Performance comparison across key benchmark categories
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Gemini 2.5 Pro
Coding63.2%(+13.9%)
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o3-mini
Coding49.3%
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Knowledge Cutoff
Training data recency comparison
o3-mini
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:73.0%(+13.7%)
Providers:2
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o3-mini
Avg Score:59.3%
Providers:2