+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro Preview 06-05 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 1.1% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 33.8K more tokens in context window than GPT-4.1 nano. GPT-4.1 nano is $10.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 2.5 Pro Preview 06-05
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 35 common benchmarks
+
+
+
+
Gemini 2.5 Pro Preview 06-05
Average Score:25.6%(+1.1%)
+
+
+
+
GPT-4.1 nano
Average Score:24.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
GPT-4.1 nano
+
+
+
+
Gemini 2.5 Pro Preview 06-05
Avg Score:25.6%(+1.1%)
Providers:1
+
+
+
+
GPT-4.1 nano
Avg Score:24.4%
Providers:1