Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro leads with 17.9% higher average benchmark score. Gemini 3.1 Pro offers 105.9K more tokens in context window than Gemini 3 Pro. Gemini 3.1 Pro is $8.50 cheaper per million tokens. Overall, Gemini 3.1 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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.
3 months newer

Gemini 3 Pro
Google DeepMind
2025-11-18

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3 Pro
Gemini 3.1 Pro
Context window and performance specifications
Average performance across 4 common benchmarks
Gemini 3 Pro
Gemini 3.1 Pro
Performance comparison across key benchmark categories
Gemini 3 Pro
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Gemini 3.1 Pro
Gemini 3 Pro
Gemini 3.1 Pro
Gemini 3 Pro
Gemini 3.1 Pro
Gemini 3.1 Pro