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Gemini 1.0 Pro vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 41.6% higher average benchmark score. o4-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. o4-mini supports multimodal inputs. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
1 year newer
Gemini 1.0 Pro
2024-02-15
o4-mini
OpenAI
2025-04-16
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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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o4-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:40.8%
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o4-mini
Average Score:82.4%(+41.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
o4-mini
2024-05-31
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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o4-mini
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Gemini 1.0 Pro
Avg Score:40.8%
Providers:1
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o4-mini
Avg Score:82.4%(+41.6%)
Providers:1