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Gemini 2.5 Pro vs o4-mini
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 1.1% higher average benchmark score. Gemini 2.5 Pro offers 814.1K more tokens in context window than o4-mini. o4-mini is $5.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
1 month newer
o4-mini
OpenAI
2025-04-16
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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o4-mini
Input:$1.10
Output:$4.40($5.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Gemini 2.5 Pro
Average Score:71.0%(+1.1%)
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o4-mini
Average Score:69.9%
Performance comparison across key benchmark categories
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Gemini 2.5 Pro
Coding63.2%
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o4-mini
Coding68.1%(+4.9%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
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:71.0%(+1.1%)
Providers:2
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o4-mini
Avg Score:69.9%
Providers:1