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Gemini 2.5 Flash vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 43.6% higher average benchmark score. Gemini 2.5 Flash offers 33.8K more tokens in context window than GPT-4.1 nano. GPT-4.1 nano is $2.30 cheaper per million tokens. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
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Gemini 2.5 Flash represents a continued evolution of Google's efficient multimodal models, designed to deliver enhanced capabilities while maintaining the performance characteristics valued in the Flash series. Built to serve high-throughput applications with improved quality, it advances the balance between speed and intelligence.
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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 month newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemini 2.5 Flash
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.30
Output:$2.50
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GPT-4.1 nano
Input:$0.10
Output:$0.40($2.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 2.5 Flash
Average Score:73.8%(+43.6%)
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GPT-4.1 nano
Average Score:30.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemini 2.5 Flash
2025-01-31
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 2.5 Flash
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:73.8%(+43.6%)
Providers:2
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GPT-4.1 nano
Avg Score:30.2%
Providers:1