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Gemini 1.0 Pro vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 43.2% higher average benchmark score. o3-mini offers 259.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $3.50 cheaper per million tokens. Overall, o3-mini 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
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.
11 months newer
Gemini 1.0 Pro
2024-02-15
o3-mini
OpenAI
2025-01-30
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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($3.50 cheaper)
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o3-mini
Input:$1.10
Output:$4.40
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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o3-mini
Average Score:87.3%(+43.2%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
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Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
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o3-mini
Avg Score:87.3%(+43.2%)
Providers:2