# Gemini 3.1 Pro ![Organization](https://img.shields.io/badge/Org-Google-4285F4) ![License](https://img.shields.io/badge/License-Proprietary-d29922) ![Multimodal](https://img.shields.io/badge/Vision-Yes-2da44e) ![Released](https://img.shields.io/badge/Released-Mar%202026-555) > **Quick answer:** Gemini 3.1 Pro is Google's March 2026 frontier multimodal model, scoring 98.0% on ARC-AGI, 98.3% on AIME 2026, 94.3% on GPQA Diamond, 46.4% on Humanity's Last Exam, and 85.9% on BrowseComp. It succeeds Gemini 2.5 Pro as Google's most capable model. ## At a Glance **Where Gemini 3.1 Pro leads** - 98.0% ARC-AGI — near-ceiling abstract reasoning - 98.3% AIME 2026 — near-perfect competition mathematics - 94.3% GPQA Diamond — exceptional graduate-level science - 85.9% BrowseComp — strong web research capability - 46.4% Humanity's Last Exam — top-tier frontier performance - Full multimodal capability - January 2026 knowledge cutoff **Where it lags** - 38.8% CyberGym — below some security-focused models - 33% AA Omniscience — limited niche performance - Proprietary: no open weights **Best for:** Maximum quality multimodal AI; mathematics and science research; frontier agentic tasks requiring strongest Google capability. ## What Gemini 3.1 Pro Is Gemini 3.1 Pro (released March 2026) is Google's flagship frontier model, succeeding Gemini 2.5 Pro. The model demonstrates particularly exceptional performance on mathematical reasoning benchmarks — 98.3% AIME 2026 represents near-perfect performance on competition-level mathematics. The 98.0% ARC-AGI score is also notable — this benchmark was designed to test abstract reasoning that AI models should find difficult. Gemini 3.1 Pro achieves near-ceiling performance on ARC-AGI, alongside 94.3% GPQA Diamond (graduate-level physics, biology, chemistry). The 85.9% BrowseComp score (vs Gemini 2.5 Pro's strong showing on web research) suggests Gemini 3.1 Pro maintains Google's lead on web-grounded research tasks. ## Specifications | Field | Value | |---|---| | Organization | Google | | License | Proprietary (API only) | | Release date | March 2026 | | Knowledge cutoff | January 2026 | | Modality | Multimodal | ## Pricing Available via Google AI Studio and Vertex AI. Refer to Google's AI pricing page for current Gemini 3.1 Pro rates. ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [ARC-AGI](/benchmarks/arc-agi) | 98.0% | Benchgen evaluation | 2026-03 | | [AIME 2026](/benchmarks/aime-2026) | 98.3% | Benchgen evaluation | 2026-03 | | [GPQA Diamond](/benchmarks/gpqa-diamond) | 94.3% | Benchgen evaluation | 2026-03 | | [Humanity's Last Exam](/benchmarks/humanitys-last-exam) | 46.4% | Benchgen evaluation | 2026-03 | | [BrowseComp](/benchmarks/browsecomp) | 85.9% | Benchgen evaluation | 2026-03 | | [CyberGym](/benchmarks/cybergym) | 38.8% | Benchgen evaluation | 2026-03 | ## Gemini 3.1 Pro vs Alternatives | Model | ARC-AGI | GPQA Diamond | HLE | Vision | |---|---|---|---|---| | **Gemini 3.1 Pro** | 98.0% | 94.3% | 46.4% | Yes | | [Gemini 2.5 Pro](/models/google/gemini-2-5-pro) | — | — | — | Yes | | [GPT-5.5](/models/openai/gpt-5-5) | 95.0% | 93.6% | 41.4% | Yes | | [GLM-5.2](/models/zhipuai/glm-5-2) | — | 91.2% | 54.7% | No | Gemini 3.1 Pro leads on ARC-AGI (98% vs GPT-5.5's 95%) and AIME 2026 (98.3%). GLM-5.2 leads on HLE (54.7% vs 46.4%) but lacks vision. ## Related Models & Benchmarks - Compare: [Gemini 2.5 Pro](/models/google/gemini-2-5-pro) · [GPT-5.5](/models/openai/gpt-5-5) · [GLM-5.2](/models/zhipuai/glm-5-2) - Benchmarks: [ARC-AGI](/benchmarks/arc-agi) · [AIME 2026](/benchmarks/aime-2026) · [GPQA Diamond](/benchmarks/gpqa-diamond) · [Humanity's Last Exam](/benchmarks/humanitys-last-exam) ## Frequently Asked Questions

What is Gemini 3.1 Pro?

Google's March 2026 frontier multimodal model scoring 98.0% ARC-AGI, 98.3% AIME 2026, 94.3% GPQA Diamond, and 46.4% HLE. Google's strongest model.

How does Gemini 3.1 Pro compare to Gemini 2.5 Pro?

Gemini 3.1 Pro is the successor — significantly improved on frontier benchmarks (ARC-AGI, AIME 2026, GPQA Diamond) with a more recent January 2026 knowledge cutoff.

--- *Specs from Google's Gemini 3.1 Pro release (March 2026) and Benchgen evaluations. Last updated 2026-07-24.*

Gemini 3.1 Pro — Training jobs

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