Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 25.9% higher average benchmark score. GPT-4.1 nano offers 72.2K more tokens in context window than Gemini 3 Pro. GPT-4.1 nano is $22.00 cheaper per million tokens. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
OpenAI
GPT-4.1 nano is OpenAI's smallest member of the GPT-4.1 family, released in April 2025 alongside GPT-4.1 and GPT-4.1 mini as the latency-optimized, cost-minimized option for high-throughput applications. Positioned below GPT-4.1 mini in both size and cost, it was designed for use cases where speed and affordability dominate over raw capability — including tool calling, intent classification, short-form instruction following, and retrieval-augmented lookup tasks. Unlike its larger siblings, it supports fine-tuning, making it a practical candidate for task-specific customization at scale without incurring the cost of fine-tuning larger models.
7 months newer

GPT-4.1 nano
OpenAI
2025-04-14

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
GPT-4.1 nano
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3 Pro
GPT-4.1 nano
Performance comparison across key benchmark categories
Gemini 3 Pro
GPT-4.1 nano
GPT-4.1 nano
2024-06
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
GPT-4.1 nano
Gemini 3 Pro
GPT-4.1 nano
Gemini 3 Pro
GPT-4.1 nano
OpenAI