GPT-6
A large language model released by OpenAI, demonstrating strong performance in code generation, graphical rendering, and multimodal tasks. It supports adjustable reasoning levels.
Core Facts
The API model identifier for GPT-6 Astra is gpt-6-astra.
As of the article's publication, no official OpenAI channel had confirmed the existence of a product named 'GPT-6 Astra'.
GPT-Live adopts a streaming processing architecture that allows the model to update its semantic understanding state in real time while the user is speaking.
Timeline (last 90 days)
Models affected by the 'none' downgrade logic include the GPT-6 series, xAI grok-4.5 and later versions, GPT-OSS on Groq, Kimi K3, Perplexity, QuiverAI, OpenAI gpt-oss on Bedrock, and Gemini 2.5 Pro.
Gemini 4 Carbon took the top score in 15 of 17 tests, with the models compared including Argon, GPT-6, Astra and Cloud Opus 5.5.
Intrascope 2.0 lets teams access 120+ models, including GPT-6, Claude, Gemini, Grok, Qwen, and others.
GPT-6 brings asynchronous tool calling, mid-turn steering, and bidirectional communication capabilities based on WebSocket.
OpenAI's Decisions API requires only 150 milliseconds per judgment and uses Luna, the smallest model in the GPT-6 family.
The GPT-6 series models are currently in private preview and are still some distance from general availability (GA).
OpenAI's GPT-6 and Intelligent UI can combine answers with interactive elements, paid and free access open at different times, model availability varies by tier, and the announcement targets the chat scenario, not a comprehensive model update for Work and Codex.
A user on Reddit asked GPT-6 to draw a size comparison of a polar bear and a tiger, and in the resulting image the polar bear's paws were facing completely the wrong way, and the tiger's proportions were also somewhat odd.
Microsoft's Microsoft-Decision-1 claims a decision speed 35 times faster than GPT-6, and its base model is Alibaba's open-source Qwen3.5-9B.
OpenAI put GPT-6 into the Chat tab of ChatGPT during the October showdown cycle.
40 more timeline events
All Facts (20)
The API model identifier for GPT-6 Astra is gpt-6-astra.
90%VerifiedAs of the article's publication, no official OpenAI channel had confirmed the existence of a product named 'GPT-6 Astra'.
90%VerifiedGPT-Live adopts a streaming processing architecture that allows the model to update its semantic understanding state in real time while the user is speaking.
80%VerifiedOpenAI's GPT series increments by integer version numbers (GPT-3, GPT-4) and uses letter suffixes to distinguish variants, such as "o" representing the optimized version (GPT-4o) and "mini" representing the lightweight version
75%VerifiedOpenAI officially stated that GPT-6 Sol and Luna share the same lineage as the previously released Astra series.
70%VerifiedThere is widespread speculation that Astra corresponds to a next-generation GPT-6-level model, but its specific identity has not received official confirmation
70%VerifiedAI-native development places AI at the core driving position of the development process, where humans only need to provide high-level intent while system design, code writing, and test execution are all completed autonomously by AI—fundamentally different from AI-assisted development (such as GitHub Copilot, which is human-led).
70%VerifiedGPT-4o is priced approximately 50% lower than GPT-4.
65%VerifiedChoosing a model cannot rely solely on benchmark scores; the model's willingness to execute real-world tasks is the key practical value.
65%VerifiedOpenAI announced the rollout of the GPT-6 model to all ChatGPT users worldwide, simultaneously launching an intelligent interaction interface called Intelligent UI.
75%VerifiedGPT-6 Sol and Anthropic's Opus 5.5 were released on the same day.
70%Partially VerifiedGPT-6 introduces a new capability called Intelligent UI, which transforms AI responses from plain text into interfaces containing interactive elements such as graphics, buttons, forms, and charts.
70%Partially VerifiedThe per-task cost of GPT-6 Sol High on Automation Bench is only one-tenth that of Opus 5.
65%UnverifiedGPT-6 (Astral) achieved an accuracy rate of 72.6% on the OS World 2.0 benchmark, with an average of approximately 40 minutes per task.
60%UnverifiedThe correct approach to deploying large models is to first clarify the target precision and target context length, then work backwards to determine the required memory, rather than simply looking at parameter count.
60%UnverifiedModels affected by the 'none' downgrade logic include the GPT-6 series, xAI grok-4.5 and later versions, GPT-OSS on Groq, Kimi K3, Perplexity, QuiverAI, OpenAI gpt-oss on Bedrock, and Gemini 2.5 Pro.
50%UnverifiedGemini 4 Carbon took the top score in 15 of 17 tests, with the models compared including Argon, GPT-6, Astra and Cloud Opus 5.5.
50%UnverifiedIntrascope 2.0 lets teams access 120+ models, including GPT-6, Claude, Gemini, Grok, Qwen, and others.
50%UnverifiedGPT-6 brings asynchronous tool calling, mid-turn steering, and bidirectional communication capabilities based on WebSocket.
50%UnverifiedOpenAI's Decisions API requires only 150 milliseconds per judgment and uses Luna, the smallest model in the GPT-6 family.
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