Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 681.3K more tokens in context window than GPT-5 Mini. Gemini 3.1 Pro is $11.00 cheaper per million tokens. 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
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
6 months newer

GPT-5 Mini
OpenAI
2025-08

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
GPT-5 Mini
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
GPT-5 Mini
Gemini 3.1 Pro
GPT-5 Mini
Gemini 3.1 Pro
GPT-5 Mini
OpenAI