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GPT-5 is launching today: all available details on the models, capabilities, and OpenAI’s trillion-dollar pivot.


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OpenAI sets the stage for today’s GPT‑5 livestream.

Today, August 7, 2025, at 10:00 AM Pacific Time, OpenAI will host its long-awaited “LIVE5TREAM” event, officially introducing GPT‑5.


The announcement teaser, published across OpenAI’s social channels, prominently features the number 5 and a dark-purple aesthetic consistent with previous GPT‑4o visuals, leaving little doubt about the significance of the event. While the teaser reveals no technical information, a broader set of leaks and industry activity provides insight into what’s about to be launched.



A GitHub leak reveals GPT‑5 will come in four model variants.

In a blog post that briefly appeared on GitHub before being removed, four distinct GPT‑5 model names were listed:

  • gpt‑5 (full version),

  • gpt‑5-mini (smaller and cost-optimized),

  • gpt‑5-nano (ultra-lightweight and low-latency),

  • gpt‑5-chat (optimized for conversational use).


The leak also included partial architectural metadata, indicating a Mixture of Experts (MoE) structure shared across all variants. The standard GPT‑5 model reportedly uses 48 transformer layers, with 256 experts (8 active per token). Mini and Nano reduce the number of layers to 24 and 12, respectively, while maintaining the same MoE routing. These design choices suggest that OpenAI aims to scale GPT‑5 across a wide range of use cases—from cloud inference to edge deployment.



Advanced features expected: agentic behavior, long-term memory, Sora 2, and code debugging.

Several sources, including Tom’s Guide and technical write-ups from insiders, converge on key features expected in GPT‑5:

  • Persistent memory across sessions, with vectorized user preference tracking.

  • A native integration of Sora 2, allowing users to generate and export HD videos directly from multimodal prompts.

  • Agentic orchestration capabilities, enabling the model to perform real-world tasks such as booking appointments or ordering items.

  • A built-in compiler for auto-debugging code in Python and TypeScript.


These capabilities are likely underpinned by a proprietary vector cache that lives in Microsoft’s Azure cloud, signaling an increasingly deep integration between OpenAI and its infrastructure partner.



Open-weight models launched in parallel shift the focus to local AI.

While attention focuses on GPT‑5, OpenAI has already made a significant parallel move: the release of two open-weight models named gpt-oss-20b and gpt-oss-120b. These models are available via Hugging Face and GitHub Models and can run locally on consumer hardware through tools like Ollama.


The 20B version performs above o3-mini in benchmarks like MMLU and AIME 2024, with inference possible on laptops equipped with an RTX 4060. Microsoft has released official Docker containers for these models in Azure AI Foundry and Windows AI Studio, suggesting a dual strategy: high-end proprietary models in the cloud, and efficient, open-source models for local use.



A financial move signals OpenAI’s mega-expansion strategy.

OpenAI is currently in talks to sell employee-held shares at a valuation approaching $500 billion, surpassing SpaceX and positioning the company as the second most valuable private tech firm globally. The capital inflow is expected to fund:

  • The Jony Ive-designed AI hardware ecosystem, now planned for early 2027.

  • The expansion of AI data centers, in partnership with Oracle and Microsoft.

  • Ongoing investment in multi-agent infrastructure and open-weight model R&D.

This financial maneuver suggests that OpenAI’s ambitions now span well beyond software—and that GPT‑5 may be only the first in a chain of transformational launches.



The broader AI ecosystem braces for response.

Even before the launch, ripples are visible across the AI sector. Internal repository activity shows significant spikes in the Gemini 3-Pro and Claude 5-Opus branches, signaling that Google and Anthropic are preparing responses for post-launch deployment. Nvidia, meanwhile, has updated its NIM profiles to include GPT‑5, with optimized inference configurations using FP8 for standard models and FP6 for nano variants, scheduled to appear on DGX Cloud in September.


As OpenAI unveils its most advanced model yet, the release is poised to not only reshape consumer and enterprise AI—but to redefine competitive dynamics across the entire artificial intelligence industry.



Event Time Reminder:🕙 LIVE5TREAM goes live at 10 AM PT / 1 PM ET on August 7, 2025.



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