Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 814.1K more tokens in context window than o1. Gemini 3.1 Pro is $61.00 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
OpenAI o1, released by OpenAI in December 2024, is a reasoning-focused large language model that applies extended chain-of-thought processing before generating responses. It features a 200K token context window and native image understanding, demonstrating strong performance on STEM benchmarks requiring multi-step reasoning. o1 targets mathematics, science, and coding tasks where careful deliberation over the problem produces more accurate outputs than direct generation.
1 year newer

o1
OpenAI
2024-12-05

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
o1
Context window and performance specifications
o1
2023-10
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
o1
Gemini 3.1 Pro
o1
Gemini 3.1 Pro
o1
OpenAI