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Gemini 1.0 Pro vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 54.4% higher average benchmark score. GPT-5 mini offers 487.0K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. GPT-5 mini supports multimodal inputs. Overall, GPT-5 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
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT-5 mini
OpenAI
2025-08-07
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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($0.25 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.0 Pro
Average Score:27.9%
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GPT-5 mini
Average Score:82.3%(+54.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-5 mini
2024-05-30
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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GPT-5 mini
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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GPT-5 mini
Avg Score:82.3%(+54.4%)
Providers:2