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Gemini 2.5 Pro Preview 06-05 vs o1-mini
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 26.4% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 920.6K more tokens in context window than o1-mini. Gemini 2.5 Pro Preview 06-05 is $3.75 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
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Gemini 2.5 Pro Preview was released as an early access version of Gemini 2.5 Pro, designed to allow developers and enterprises to experiment with next-generation capabilities before general availability. Built to gather feedback and demonstrate upcoming features, it provided a window into the evolution of Google's flagship model.
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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.
8 months newer
o1-mini
OpenAI
2024-09-12
Gemini 2.5 Pro Preview 06-05
2025-06-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00($3.75 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:86.4%(+26.4%)
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o1-mini
Average Score:60.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
2025-01-31
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 2.5 Pro Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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o1-mini
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Gemini 2.5 Pro Preview 06-05
Avg Score:86.4%(+26.4%)
Providers:1
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o1-mini
Avg Score:60.0%
Providers:2