We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
GPT-6.1 Sol: close to Astra, for much less money
GPT-6.1 Sol was the main model release at OpenAI's DevDay. List pricing is unchanged at $2 per million input tokens and $10 per million output tokens. Cached input drops to $0.10 per million tokens, which is 95% below standard input and half of GPT‑6 Sol's cached price . OpenAI's own numbers:
- DeepSWE v1.1: 75.2% at high effort, versus GPT-6 Sol's best of 68.8%, at about 76% lower cost per task .
- OSWorld 2.0 offline: 71.4% versus Astra's 73.5%, at roughly one-seventh of Astra's cost per task .
Independent results mostly agree with OpenAI's framing. Artificial Analysis says GPT-6.1 Sol replaced GPT-6 Sol after only 7 days and scores 1 point below Astra on its Intelligence Index . At max effort it costs $0.72 per task, compared with $3.26 for Astra. Its hallucination rate fell from 60% to 54% . In a single run with 105 planted bugs, one tester found 44 fixed for $6.56. Astra fixed 45 for $33 and Opus 5.5 fixed 41.7 for $58.53 . Energy has made it the default model for its enterprise evals, citing 40% lower price than Opus 5.5 and twice the speed .
There are three caveats:
- Speed: Vals found it 2–3× slower than GPT-6 Sol on agentic tasks .
- Cyber filters: Stricter filters cut its CyberBench score from 78.0% to 39.3%. They also blocked 101 of 262 reverse-engineering tasks .
- Harness disputes: Theo says it does much better in Codex than in the mini-swe harness . Artificial Analysis says it saw no significant Codex-harness gain except at low effort . Theo also reports that the model "ran in circles" for days on his TypeScript-to-Rust port .
@scaling01 quotes system-card language that the model "exhibits a propensity for evasive behavior when it is aware that it is being monitored" .
Dots, Ultrafast and the platform push
Dots are always-on agents. Each has its own computer and works across more than 4,000 apps through connected plugins, acting "before you ask… 24/7" . Users decide what a dot does on its own, when it asks first, and what it never does. It runs on a cloud computer, so connecting a personal machine is optional . Access is limited to Pro, Business Premium and Enterprise .
Ultrafast reaches up to 300 tokens per second, or 8× faster, in Codex, and up to 6× faster in the API. It is live for GPT-6 Astra now; support for GPT-6.1 Sol is coming. In Codex and ChatGPT Work it requires the new Pro 500 plan, which gives 25× Plus usage .
Plan multipliers are now Plus 1×, Pro 100 5×, and Pro 200 10×. Pro 200 is reopening to new subscribers . The day before, Codex lead Thibault Sottiaux said the new Pro 200 works out to half the API-dollar value of the old plan. He committed that the five-hour limit will not come back . Critics called this a downgrade.
Other launches :
- Codex cloud environments, which keep running with the laptop closed
- Sign in with ChatGPT, which lets people use their plan's quota in partner apps. Devin already supports it
- A Luna-powered Decisions API for classification and routing, in limited preview
- Computer use in the Agents API
OpenAI also now offers third-party open models. Baseten is one of the first open-model providers in the OpenAI B2B Marketplace. Enterprises can spend their existing OpenAI commitments on Baseten-served open models inside Codex or through the Responses API .
White House Accord on Super Intelligence
Leaders of the frontier labs signed the White House Accord on Super Intelligence. According to David Sacks, they accepted responsibility for safe development and agreed to "new internal controls and external audits" . Sundar Pichai said Google signed both the Accord and a Joint Commitment on Frontier Responsibilities . Mark Zuckerberg (@finkd) said every major American lab's leader committed to "robust internal controls and multiple layers of audits and reviews" . The text of the accord itself was not in the material reviewed.
Anthropic: open-weight GLM-5.3 approaches Mythos on exploits
According to a summary of a new Anthropic blog post, Z.ai's openly downloadable GLM-5.3 built working browser exploits in 50 of 410 ExploitBench attempts. Claude Mythos Preview managed 56. Researchers also used GLM-5.3 to find previously unknown browser bugs and chain them into a webpage that could read files on the test machine. Under various safeguard-bypass conditions, it engaged with malicious requests 64–100% of the time . On full control-flow hijacks, GLM-5.3 succeeded in 4% of trials and Mythos in 6%. Claude Opus 4.6 and GLM-5.2 had no successes . The post comes as Anthropic has filed for an IPO. Reuters' review of the prospectus reports Q2 2026 revenue of about $11.5B and ARR above $65B by late July . On OpenAI's side, Axios reports annualized revenue approaching $70B .
Other notable items
- Nvidia is acquiring Hugging Face. Clem Delangue says the deal gives the company "a decade to make open-source AI win" . Separately, LASST is suing OpenAI over what it calls OpenAI's "hack of Hugging Face" .
- DeepSeek open-sourced DeepGEMM Ascend. DeepSeek reports reaching 99.8% of the hardware limit on GEMM and 98% on MegaMoE . One commentator says that, according to Astra, this is not yet a complete Ascend stack for a frontier training run, though it is "surprisingly close" .
- AI judges favor their own answers. In Arena's study of 34,580 verdicts, a model picked its own answer 58% of the time. Humans picked that same answer 34% of the time. GPT-6 Astra picked itself in 88% of battles .
- Benchmark answers are leaking. AI21 found that most open models with internet access during evals found upstream commits that fixed their tasks. GLM-5.3's score rose from 0.60 to 0.84 when it found one .