Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 105.9K more tokens in context window than Gemini 2.5 Pro. Gemini 2.5 Pro is $2.75 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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.
9 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 2.5 Pro
Gemini 3.1 Pro
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Gemini 3.1 Pro
Gemini 2.5 Pro
Gemini 3.1 Pro
Gemini 2.5 Pro
Gemini 3.1 Pro