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Gemini 1.5 Flash vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 4.0% higher average benchmark score. GPT-4.1 nano offers 23.6K more tokens in context window than Gemini 1.5 Flash. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
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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.
11 months newer
Gemini 1.5 Flash
2024-05-01
GPT-4.1 nano
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Flash
Input:$0.15
Output:$0.60
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GPT-4.1 nano
Input:$0.10
Output:$0.40($0.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 1.5 Flash
Average Score:64.5%(+4.0%)
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GPT-4.1 nano
Average Score:60.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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 1.5 Flash
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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GPT-4.1 nano
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Gemini 1.5 Flash
Avg Score:64.5%(+4.0%)
Providers:1
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GPT-4.1 nano
Avg Score:60.5%
Providers:1