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Gemini 1.5 Pro vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 8.8% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than o3-mini. o3-mini is $7.00 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, o3-mini 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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
9 months newer
Gemini 1.5 Pro
2024-05-01
o3-mini
OpenAI
2025-01-30
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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
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o3-mini
Input:$1.10
Output:$4.40($7.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 1.5 Pro
Average Score:79.8%
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o3-mini
Average Score:88.5%(+8.8%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
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Gemini 1.5 Pro
Avg Score:79.8%
Providers:1
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o3-mini
Avg Score:88.5%(+8.8%)
Providers:2