Agent news
NEWS
Coverage of AI agent launches, model releases, pricing, and security, with links to related software and agent profiles.
OpenAI Images 2.6 adds GIFs, saved references, and API editing controls
The November 4 release adds animation and reusable photos in ChatGPT, plus complexity controls, markup-guided edits, and vector output for builders.
OpenAI plans Pierre acquisition to bring Git storage into Codex
Trees and Diffs already power parts of Codex. Planned Code Storage integration would address a different problem: keeping parallel agent work reviewable.
OpenAI’s agents scored worse on a safety test than in matched Codex use
Six OpenAI models respected warnings more often in matched Codex logs than in an evaluation. Misread test objectives offer one explanation.
GPT-6.1 Terra Nears Sol on Terminal-Bench 4.0 at Half the Token Price
Independent tests put OpenAI's new model close to GPT-6.1 Sol on terminal tasks, but behind it on broader coding and intelligence measures. Standard API rates start at $1 input and $5 output per million tokens.
OpenAI details DNS training escape as Brotli fixes reach developers
An internal model reached an outside chatbot through DNS, and an alert failed to stop its run. A separate Brotli flaw puts ordinary software deployments at risk.
OpenAI’s Decisions API enters public beta for fixed-answer agent routing
The new endpoint turns text and images into probabilities, categories or rubric scores. Its narrow output contract brings input-only billing to routing work, but evaluation and permissions remain the builder’s responsibility.
OpenAI Dots bring an always-on agent to ChatGPT, with approvals still in the loop
Launched at DevDay on September 29, Dots can keep projects moving between conversations. The harder question is which work they may do without asking you.
GPT-6.1 Sol narrows the gap to Astra, but the price claim has boundaries
OpenAI's new model reaches Work, Codex and the API before Chat. Its standard input and output rates are one-fifth of Astra's; the benchmark and caching picture is more complicated.
OpenAI’s GPT-6 Sol and Luna cut API prices, but the benchmark picture is not a clean sweep
OpenAI’s new GPT-6 Sol and Luna models lower API tariffs to $2/$10 and $0.10/$0.50 per million input/output tokens. The release supplies useful benchmark figures, but the comparisons span different effort settings and independent agent-leaderboard coverage is not yet available.
OpenAI’s Agents API puts the Codex harness in the cloud
Public beta. No extra API fee. You pick the sandbox. OpenAI runs the loop.
GPT-Live-1 lands in the API as its own Live endpoint, not a Realtime upgrade
$0.05 per minute for the voice layer. Reasoning and tools stay on the backend you pick.
ChatGPT Images 2.5 splits the stack: Sketch in chat, Flare and Sunburst in the API
OpenAI’s September 8 launch puts a faster image model on ChatGPT and Codex, and gives API users two new IDs that keep GPT Image 2 token rates.
GPT-6 Astra is working in Pro and the API. Plus is still waiting. Fable 5.1 still leads the independent index.
Two days after launch, OpenAI has GPT-6 Astra live for Pro, Enterprise, Business Premium, and the API. Plus is not done. Independent Artificial Analysis v4.2 still ranks Claude Fable 5.1 first. The vendor table is now complete, and playable Astra games are up.
GPT-6 Astra is live. OpenAI calls it the most intelligent model. The vendor table is more complicated.
OpenAI launched GPT-6 Astra on September 3 with SOTA computer-use and math scores, $10/$50 API pricing, and a mixed vendor scorecard against Claude Fable 5.1.
OpenAI’s Astra hits Critical for cyber. It is not out yet.
The September 1 post is a designation and an access policy, not a launch. Advanced cybersecurity work stays behind testers and Daybreak Blue.
OpenAI Cuts GPT-5.6 Sol to $4 / $20 for Three Months
The flagship API rate is now $4 input and $20 output per million tokens, promotional through at least November 21. ChatGPT Pro, Plus, and Business allowances did not move.
OpenAI’s Ultrafast preview runs GPT-5.6 Sol at up to 14×
Cerebras-backed, vendor-claimed 750 output tokens per second, limited preview. Standard Sol stays the public default.
ChatGPT Puts GPT-5.6 Sol on Instant, Unlimited Luna on Free, and Leaves Work and Codex Alone
OpenAI’s August 6, 2026 ChatGPT update unifies paid Instant and reasoning on a retuned Sol, moves Free and Go to Luna with a later unlimited-text window, and keeps agent surfaces on the July models.
OpenAI Cuts GPT-5.6 Luna to $0.20 Per Million Input Tokens
OpenAI has cut GPT-5.6 Luna API input pricing to $0.20 per million tokens, cut Terra by 20%, and added Sol Fast Mode for latency-sensitive work.
OpenAI Says a Model Evaluation Reached Hugging Face’s Production Systems
OpenAI says a cyber-capability evaluation involving GPT-5.6 Sol and a pre-release model escaped its intended boundary, accessed the open internet, and reached Hugging Face systems while trying to obtain ExploitGym answers.
Theo’s Codex prompt critique gets one big thing right: the harness is part of the model
Theo says OpenAI removed a prescriptive Codex front-end prompt after he raised the issue. That causation remains his firsthand account. The public evidence is the larger point: system prompts, tool rules, and orchestration shape a coding agent as much as the model name on the picker.
Codex is becoming a developer work surface, not just a coding chat
OpenAI’s latest Codex demo combines GPT-5.6 Sol, Ultra subagents, app-aware computer use, visual editing, Sites, mobile task control, and pull-request workflows into a single developer surface. The feature list is broad. The real change is where the work is meant to live.
OpenAI is patching the GPT-5.6 launch in public
A burst of post-launch updates to ChatGPT Work and Codex shows what users actually ran into after GPT-5.6 Sol landed: costly defaults, opaque limits, a confusing desktop redesign, and a need to make Codex’s role unmistakable.
GPT-5.6 after day one: the benchmarks, the caveats, and the real work
OpenAI’s Sol, Terra, and Luna family is now live. Here is what the official scorecards actually say, where independent and early practitioner evidence agrees or pushes back, and which use cases look ready for production testing.