# GPT-5.5 ![Organization](https://img.shields.io/badge/Org-OpenAI-74aa9c) ![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-Jun%202026-555) > **Quick answer:** GPT-5.5 is OpenAI's June 2026 frontier multimodal model, scoring 95.0% on ARC-AGI, 93.6% on GPQA Diamond, 84.4% on BrowseComp, 81.8% on CyberGym, 47.9% on Agents Last Exam, and 41.4% on Humanity's Last Exam. The current top-tier GPT-5 series model. ## At a Glance **Where GPT-5.5 leads** - 95.0% ARC-AGI — near-ceiling abstract reasoning (+1.3pp vs GPT-5.4) - 93.6% GPQA Diamond — state-of-the-art graduate science - 81.8% CyberGym — leading cybersecurity benchmark - 84.4% BrowseComp — strong web research - 47.9% Agents Last Exam — strong agentic task performance - Full multimodal capability **Where it lags** - 41.4% HLE — below Gemini 3.1 Pro (46.4%) and GLM-5.2 (54.7%) - ARC-AGI still below Gemini 3.1 Pro (98.0% vs 95.0%) - Proprietary **Best for:** Maximum OpenAI capability; agentic tasks requiring the strongest GPT-5 model; multimodal frontier use cases. ## What GPT-5.5 Is GPT-5.5 (released June 2026) is OpenAI's most capable model at this release date — the June 2026 increment of the GPT-5 series. It improves on GPT-5.4 across all available benchmarks and adds stronger agentic performance (47.9% Agents Last Exam vs GPT-5.4's 37.3%). The 81.8% CyberGym score is notable — significantly above GPT-5.4's 79.0% and placing it among the strongest models on security evaluation. The BrowseComp improvement (84.4% vs 82.7%) also indicates stronger web research capability. ## Specifications | Field | Value | |---|---| | Organization | OpenAI | | License | Proprietary (API only) | | Release date | June 2026 | | Knowledge cutoff | September 2025 | | Modality | Multimodal | ## Pricing Available via OpenAI API. Refer to the OpenAI pricing page for current GPT-5.5 rates. ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [ARC-AGI](/benchmarks/arc-agi) | 95.0% | Benchgen evaluation | 2026-06 | | [GPQA Diamond](/benchmarks/gpqa-diamond) | 93.6% | Benchgen evaluation | 2026-06 | | [BrowseComp](/benchmarks/browsecomp) | 84.4% | Benchgen evaluation | 2026-06 | | [CyberGym](/benchmarks/cybergym) | 81.8% | Benchgen evaluation | 2026-06 | | [Agents Last Exam](/benchmarks/agents-last-exam) | 47.9% | Benchgen evaluation | 2026-06 | | [Humanity's Last Exam](/benchmarks/humanitys-last-exam) | 41.4% | Benchgen evaluation | 2026-06 | ## GPT-5.5 vs Alternatives | Model | ARC-AGI | GPQA Diamond | HLE | CyberGym | |---|---|---|---|---| | **GPT-5.5** | 95.0% | 93.6% | 41.4% | 81.8% | | [GPT-5.4](/models/openai/gpt-5-4) | 93.7% | 92.8% | 39.8% | 79.0% | | [Gemini 3.1 Pro](/models/google/gemini-3-1-pro) | 98.0% | 94.3% | 46.4% | 38.8% | | [GLM-5.2](/models/zhipuai/glm-5-2) | — | 91.2% | 54.7% | — | GPT-5.5 vs Gemini 3.1 Pro: GPT-5.5 leads on CyberGym (81.8% vs 38.8%); Gemini leads on ARC-AGI (98% vs 95%) and HLE (46.4% vs 41.4%). Choice depends on task: GPT-5.5 for security/coding, Gemini 3.1 for math/science. ## Related Models & Benchmarks - Compare: [GPT-5.4](/models/openai/gpt-5-4) · [Gemini 3.1 Pro](/models/google/gemini-3-1-pro) · [GLM-5.2](/models/zhipuai/glm-5-2) - Benchmarks: [ARC-AGI](/benchmarks/arc-agi) · [GPQA Diamond](/benchmarks/gpqa-diamond) · [CyberGym](/benchmarks/cybergym) · [Humanity's Last Exam](/benchmarks/humanitys-last-exam) ## Frequently Asked Questions

What is GPT-5.5?

OpenAI's June 2026 frontier multimodal model scoring 95.0% ARC-AGI, 93.6% GPQA Diamond, 81.8% CyberGym, and 41.4% HLE. The current top-tier GPT-5 series model.

How does GPT-5.5 compare to Gemini 3.1 Pro?

Both are frontier multimodal models. Gemini 3.1 Pro leads on ARC-AGI (98% vs 95%), AIME 2026 (98.3%), and HLE (46.4% vs 41.4%). GPT-5.5 leads on CyberGym (81.8% vs 38.8%). Choice depends on task requirements.

--- *Specs from OpenAI's GPT-5.5 release (June 2026) and Benchgen evaluations. Last updated 2026-07-24.*

GPT-5.5 — Evaluations

Evaluations