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Gemini 1.0 Pro vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 11.9% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than Gemini 1.0 Pro. GPT-4.1 nano is $1.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano 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-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT-4.1 nano
OpenAI
2025-04-14
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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
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GPT-4.1 nano
Input:$0.10
Output:$0.40($1.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 1.0 Pro
Average Score:48.6%
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GPT-4.1 nano
Average Score:60.5%(+11.9%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-4.1 nano
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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GPT-4.1 nano
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Gemini 1.0 Pro
Avg Score:48.6%
Providers:1
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GPT-4.1 nano
Avg Score:60.5%(+11.9%)
Providers:1