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Gemini 1.5 Pro vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 2.8% higher average benchmark score. Gemini 1.5 Pro offers 1.9M more tokens in context window than o1-mini. Gemini 1.5 Pro is $2.50 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
4 months newer
Gemini 1.5 Pro
2024-05-01
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00($2.50 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.5 Pro
Average Score:76.4%
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o1-mini
Average Score:79.2%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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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o1-mini
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Gemini 1.5 Pro
Avg Score:76.4%
Providers:1
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o1-mini
Avg Score:79.2%(+2.8%)
Providers:2