Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 30.7% higher average benchmark score. Gemini 3 Pro offers 708.2K more tokens in context window than o4 mini. o4 mini is $17.00 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
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
7 months newer

o4 mini
OpenAI
2025-04-16

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
o4 mini
Context window and performance specifications
Average performance across 4 common benchmarks
Gemini 3 Pro
o4 mini
Performance comparison across key benchmark categories
Gemini 3 Pro
o4 mini
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
o4 mini
Gemini 3 Pro
o4 mini
Gemini 3 Pro
o4 mini
OpenAI