GPT-5.5
GPT-5.5 is a multimodal large language model released by OpenAI, belonging to the GPT series, with support for both text and image inputs.
Core Facts
Timeline (last 90 days)
On the Terminal-Bench 2.0 benchmark, the same model GPT-5.5 scores from 66.07% to 88.09% under different harnesses (a gap of about 22 percentage points).
The official page states that GPT-5.5 will be taken offline from all ChatGPT and Codex plans on October 14.
Users who pinned gpt-5.5 and log in via ChatGPT must update their configuration after Codex retires GPT-5.5 on October 14, 2025, covering workspace defaults, saved model settings, managed configuration, custom agents, scheduled tasks, and scripts that still select gpt-5.5.
The UK AI Safety Institute's April report stated that GPT-5.5 solved a reverse-engineering problem in about 10 minutes at a cost of about $1.73, whereas a human expert would need about 12 hours.
When encountering a model-not-supported error, one should confirm the login method, check whether the model configuration still says gpt-5.5, switch models or use an API Key, start a new session, and check whether gpt-5.5 is hard-coded in team shared configurations.
If the code session compression process still references the retired GPT-5.5 configuration, it may cause abnormal session state, manifesting as inconsistent behavior after model switching or loss of key information from the context.
OpenAI retired GPT-5.5 from the ChatGPT account login system on October 14.
The September 18 changelog set October 19 as the removal date for another six models, including GPT-5.5, GPT-5.4, and Grok 4.5; the interval from October 19 to November 16 is only 28 days.
The visual quality scores of AesCode-8B and AesCode-32B are comparable to closed-source frontier models such as GPT-5.5 and Claude Opus 4.8.
On October 14, 2026, OpenAI added a notice to its deprecation page announcing that GPT-4o, GPT-4o mini, GPT-4.1, and GPT-4.1 mini will be removed from the API on January 14, 2027.
32 more timeline events
All Facts (20)
GPT-5.5是OpenAI于2025年中期发布的模型，相比GPT-4o在推理深度和上下文理解方面有显著提升
90%VerifiedGPT-5.5 was released at the end of April 2025.
80%VerifiedGPT-5.5据称是目前所有大模型中综合实力最强的
80%VerifiedAI models capable of vulnerability discovery may allow people without deep security knowledge to find and exploit vulnerabilities, lowering the barrier to attacks.
75%UnverifiedGPT-5.5 xhigh 是 OpenAI 模型系列中的高推理能力配置，'xhigh'表示模型在生成回答时会投入更多计算资源进行深度推理
85%UnverifiedGPT-5.5 xhigh中的xhigh指的是计算预算等级，意味着模型在生成代码时会投入更多的推理计算资源
80%UnverifiedThe public availability of AI models with professional-grade vulnerability discovery capabilities may lower the technical barrier to cyberattacks.
70%Unverified基础大模型能力的提升正在直接转化为垂直领域应用的质量跃升
70%UnverifiedGPT-5.5 belongs to OpenAI, Claude belongs to Anthropic, and Gemini belongs to Google, with each having differences in their native API formats.
70%UnverifiedLlama 3.1 405B's score on MMLU is already close to the level of GPT-4o, and Qwen 2.5 72B has surpassed GPT-4 Turbo on certain metrics in math and code generation benchmarks.
60%Unverified新一代结合GPT-5.5的Codex能够理解跨文件的依赖关系、识别异步竞态条件等复杂bug，以及评估算法复杂度
60%UnverifiedOn the Terminal-Bench 2.0 benchmark, the same model GPT-5.5 scores from 66.07% to 88.09% under different harnesses (a gap of about 22 percentage points).
50%UnverifiedUsers who pinned gpt-5.5 and log in via ChatGPT must update their configuration after Codex retires GPT-5.5 on October 14, 2025, covering workspace defaults, saved model settings, managed configuration, custom agents, scheduled tasks, and scripts that still select gpt-5.5.
50%UnverifiedThe UK AI Safety Institute's April report stated that GPT-5.5 solved a reverse-engineering problem in about 10 minutes at a cost of about $1.73, whereas a human expert would need about 12 hours.
50%UnverifiedWhen encountering a model-not-supported error, one should confirm the login method, check whether the model configuration still says gpt-5.5, switch models or use an API Key, start a new session, and check whether gpt-5.5 is hard-coded in team shared configurations.
50%UnverifiedIf the code session compression process still references the retired GPT-5.5 configuration, it may cause abnormal session state, manifesting as inconsistent behavior after model switching or loss of key information from the context.
50%UnverifiedThe visual quality scores of AesCode-8B and AesCode-32B are comparable to closed-source frontier models such as GPT-5.5 and Claude Opus 4.8.
50%UnverifiedClaude's output in long-form writing (such as a 3000-word article) is more natural than GPT-5.5's, and the gap accumulates as the length increases.
50%UnverifiedIn William Liu's experiment, across all 31 test samples, the token counts reported by the seven GPT models were completely identical, all at 44,794.
50%UnverifiedGPT-5.5 ran out of usage quota, leaving 35 of the 90 questions unfinished; all 55 answered questions were correct, but Kaggle counted the unanswered questions as wrong, causing its official score to be lower.
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