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Gemini 1.5 Pro vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 7.8% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than o1. Gemini 1.5 Pro is $62.50 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
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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 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.
7 months newer
Gemini 1.5 Pro
2024-05-01
o1
OpenAI
2024-12-17
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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($62.50 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Gemini 1.5 Pro
Average Score:78.5%
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o1
Average Score:86.3%(+7.8%)
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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
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Gemini 1.5 Pro
Avg Score:78.5%
Providers:1
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o1
Avg Score:86.3%(+7.8%)
Providers:2