Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 5.7% higher average benchmark score. Gemini 3.1 Pro offers 681.3K more tokens in context window than GPT-5. Gemini 3.1 Pro is $136.00 cheaper per million tokens. Overall, Gemini 3.1 Pro is the stronger choice for coding tasks.
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, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
6 months newer

GPT-5
OpenAI
2025-08-07

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
GPT-5
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3.1 Pro
GPT-5
Performance comparison across key benchmark categories
Gemini 3.1 Pro
GPT-5
Gemini 3.1 Pro
2025-01
GPT-5
2025-05
Available providers and their performance metrics
Gemini 3.1 Pro
GPT-5
Gemini 3.1 Pro
GPT-5
Gemini 3.1 Pro
GPT-5
OpenAI