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Gemini 1.0 Pro vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 32.7% 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 is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
11 months newer
Gemini 1.0 Pro
2024-02-15
o3-mini
OpenAI
2025-01-30
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 32 common benchmarks
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Gemini 1.0 Pro
Average Score:13.6%
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o3-mini
Average Score:46.3%(+32.7%)
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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:13.6%
Providers:1
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o3-mini
Avg Score:46.3%(+32.7%)
Providers:2