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Gemini 1.0 Pro vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 22.7% higher average benchmark score. o1-mini offers 152.6K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $13.00 cheaper per million tokens. Overall, o1-mini is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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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.
7 months newer
Gemini 1.0 Pro
2024-02-15
o1-mini
OpenAI
2024-09-12
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($13.00 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 1.0 Pro
Average Score:49.9%
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o1-mini
Average Score:72.6%(+22.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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o1-mini
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Gemini 1.0 Pro
Avg Score:49.9%
Providers:1
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o1-mini
Avg Score:72.6%(+22.7%)
Providers:2