+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 50.5% higher average benchmark score. Gemini 2.5 Pro offers 33.8K more tokens in context window than GPT-4.1 nano. GPT-4.1 nano is $10.75 cheaper per million tokens. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
+
+
+
+
Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
+
+
+
+
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 Pro
2025-05-20
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 2.5 Pro
Input:$1.25
Output:$10.00
+
+
+
+
GPT-4.1 nano
Input:$0.10
Output:$0.40($10.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Gemini 2.5 Pro
Average Score:80.8%(+50.5%)
+
+
+
+
GPT-4.1 nano
Average Score:30.2%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
+
+
+
+
Gemini 2.5 Pro
Avg Score:80.8%(+50.5%)
Providers:2
+
+
+
+
GPT-4.1 nano
Avg Score:30.2%
Providers:1