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Gemini 1.0 Pro vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 39.1% higher average benchmark score. o1-preview offers 119.8K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $73.00 cheaper per million tokens. Overall, o1-preview 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-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
7 months newer
Gemini 1.0 Pro
2024-02-15
o1-preview
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($73.00 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.0 Pro
Average Score:44.1%
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o1-preview
Average Score:83.2%(+39.1%)
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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-preview
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Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
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o1-preview
Avg Score:83.2%(+39.1%)
Providers:2