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Gemini 1.0 Pro vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 37.8% higher average benchmark score. o1 offers 259.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $73.00 cheaper per million tokens. Overall, o1 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
10 months newer
Gemini 1.0 Pro
2024-02-15
o1
OpenAI
2024-12-17
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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($73.00 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.0 Pro
Average Score:45.4%
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o1
Average Score:83.1%(+37.8%)
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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
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Gemini 1.0 Pro
Avg Score:45.4%
Providers:1
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o1
Avg Score:83.1%(+37.8%)
Providers:2