Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 814.1K more tokens in context window than o3 mini. o3 mini is $8.50 cheaper per million tokens. Gemini 3.1 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
1 year newer

o3 mini
OpenAI
2025-01-31

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
o3 mini
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
o3 mini
Gemini 3.1 Pro
o3 mini
Gemini 3.1 Pro
o3 mini
OpenAI