Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 14.4% higher average benchmark score. Gemini 3.1 Pro supports multimodal inputs. 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-5.1 Codex Max, released by OpenAI in November 2025, is an enhanced coding variant from the GPT-5.1 Codex line, designed for more complex software engineering tasks requiring additional reasoning depth. It targets large-scale code generation, automated refactoring, and sophisticated agentic development workflows.
3 months newer

GPT-5.1 Codex Max
OpenAI
2025-11

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 3.1 Pro
GPT-5.1 Codex Max
Performance comparison across key benchmark categories
Gemini 3.1 Pro
GPT-5.1 Codex Max
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
GPT-5.1 Codex Max
Gemini 3.1 Pro
GPT-5.1 Codex Max
Gemini 3.1 Pro
GPT-5.1 Codex Max