Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 30.0% higher average benchmark score. GPT-4.1 mini offers 24.6K more tokens in context window than Gemini 3 Pro. GPT-4.1 mini is $20.50 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 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
7 months newer

GPT-4.1 mini
OpenAI
2025-04-14

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
GPT-4.1 mini
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 3 Pro
GPT-4.1 mini
Performance comparison across key benchmark categories
Gemini 3 Pro
GPT-4.1 mini
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
GPT-4.1 mini
Gemini 3 Pro
GPT-4.1 mini
Gemini 3 Pro
GPT-4.1 mini
OpenAI