OpenAI to acquire Pierre Computer Company
OpenAI will acquire Pierre Computer Company, according to OpenAI. The acquisition expands the tools in Codex for building, understanding and reviewing code.
The story published out there and, below it, what real token traffic from the last 7 days says about who is in it. The headline opens the original article; the model name opens its page here.
OpenAI will acquire Pierre Computer Company, according to OpenAI. The acquisition expands the tools in Codex for building, understanding and reviewing code.
According to OpenAI, GPT-6 Cyber is a cybersecurity model for finding exploitable vulnerabilities and developing fixes, trained to stay within authorized scope. According to TechCrunch, it arrives as AI labs face scrutiny of their work to protect digital infrastructure.
According to Google, Gemini Omni 1.2 Flash generates and edits videos up to 15 seconds long, with stronger consistency and 30% lower pricing, at $0.07 per second for 720p. In Google Vids, anyone with a Google account can generate up to three 15-second videos per month at no cost.
What the three paid US labs and the seven tracked Chinese labs logged in their own release notes since the previous edition. The headline opens the official note. See the lab scoreboard →
GPT-6-Cyber is for investigating vulnerabilities, reproducing them in an authorized test environment and verifying that fixes work.
Identifier gpt-6-cyber. See the Daybreak setup before sending your first request.
OpenAI released two image models that generate and edit images, with adjustable complexity, SVG generation and animated GIF generation.
Models gpt-image-2.6-sunburst and gpt-image-2.6-flare on the v1/images/generations and v1/images/edits endpoints. Markup-guided editing for supported GPT Image 2.5 and 2.6 models.
All organizations can now use the Live API to place outbound calls by connecting GPT-Live to a phone number.
Model gpt-live-1, endpoint v1/live/sessions. GPT-Live connects to a phone number through your SIP provider.
From $0.044 to $0.237 per 1M tokens, blended. Input $0.029 → $0.150, output $0.092 → $0.500. New price since Nov 5.
What the data says. The model has 7.34% of traffic over the last 7 days, ranked 3rd. Z.ai (GLM) has 11.1% of tokens and 4.0% of estimated spend this week.
See GLM 5.3 Flash on Model Season →Ranked 10th, with 2.0% of traffic over the last 7 days.
What the data says. Tencent has 6.7% of tokens and 7.0% of estimated spend this week.
See Hy4 on Model Season →Google, $1.50 input and $9.00 output per 1M tokens, 128k context and mandatory reasoning. No traffic volume measured yet.
What the data says. Google has 2.7% of tokens and 5.1% of estimated spend this week. The lab's most used model is Gemini 3.8 Flash, with 0.75% at $1.65 per 1M, and this one costs 2.0 times more.
Google, $1.50 input and $9.00 output per 1M tokens, 128k context and mandatory reasoning. No traffic volume measured yet.
What the data says. Google has 2.7% of tokens and 5.1% of estimated spend this week. The lab's most used model is Gemini 3.8 Flash, with 0.75% at $1.65 per 1M, and this one costs 2.0 times more.
From $0.96 to $0.40 per 1M tokens, blended. Input $0.080 → $0.070, output $3.60 → $1.40. New price since Nov 5.
What the data says. The model has 1.74% of traffic over the last 7 days, ranked 13th. Z.ai (GLM) has 11.1% of tokens and 4.0% of estimated spend this week. The lab's most used model is GLM 5.3 Flash, with 7.34% at $0.24 per 1M, and this one costs 1.7 times more.
See GLM 5.3 on Model Season →In the news: summaries written by AI using only what the cited sources published, reviewed before going live. The numbers in the “The data” strip come from our data, traffic from the last 7 days, never from the summary. Catalog snapshot of Nov 6, 2026, compared with the previous ones since Oct 30, 2026. Traffic through Nov 5, 2026. Price is a 75% input and 25% output blend, and only becomes news when the new value holds for two snapshots. Order follows a fixed relevance formula that weighs the type of change and the model’s share.