+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.0 Flash vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 13.5% higher average benchmark score. GPT-4.1 nano offers 23.6K more tokens in context window than Gemini 2.0 Flash. Both models have similar pricing. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
+
+
+
+
Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
+
+
+
+
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.
4 months newer
Gemini 2.0 Flash
2024-12-01
GPT-4.1 nano
OpenAI
2025-04-14
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 2.0 Flash
Input:$0.10
Output:$0.40
+
+
+
+
GPT-4.1 nano
Input:$0.10
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Gemini 2.0 Flash
Average Score:66.4%(+13.5%)
+
+
+
+
GPT-4.1 nano
Average Score:52.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
+
+
+
+
GPT-4.1 nano
+
+
+
+
Gemini 2.0 Flash
Avg Score:66.4%(+13.5%)
Providers:1
+
+
+
+
GPT-4.1 nano
Avg Score:52.8%
Providers:1