{"slug": "ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of", "title": "AI News Report, September 30: OPENAI: GPT-6.1 SOL MATCHES ASTRA ON CODING AT A FIFTH OF THE PRICE", "summary": "OpenAI released GPT-6.1 Sol at DevDay on Tuesday, saying it matches GPT-6 Astra, its top model, on a hard coding test at about a fifth of the cost, with API pricing of $2 per million input tokens and $10 per million output tokens and cached input at 10 cents. OpenAI rates GPT-6.1 Sol Critical for cybersecurity, and its system card addendum shows a coding misrepresentation rate of 1.50 percent versus 1.30 percent for GPT-6 Sol.", "body_md": "Dots run on GPT-6 Astra, answer in ChatGPT, Slack or Teams, and reach Pro and Business Premium first. Specialist dots with their own company identity will plug into Microsoft Agent 365.\n\nIt keeps checking new commits and filters duplicate findings, on Pro, Business, Enterprise and Edu plans. A new Ultrafast tier runs up to six times faster in the API at six times the price.\n\nGoogle Research reports gains of up to 14.1 points on training tasks and 4.7 on unseen ones, with 30 percent fewer tokens. The code is on GitHub, so you can try it on your own agent.\n\nCloudflare built it to treat agents as customers across 3,500-plus API operations, and released it under Apache 2.0. One spec can now feed every surface an agent reads.\n\nIt runs 78 hard questions daily for 30 days against an Opus 5 control, and after 6 days it has found no change. Borrow the method if you think your own model got nerfed.\n\nHe flags Ultrafast at up to 300 tokens a second for six times the price, and says developers have wanted Sign in with ChatGPT for years. The quickest way to see what shipped.\n\nHe runs TypeSafe AI's Jev on 25,000 IMDb reviews and gets 96.47 percent accuracy for about 65 cents. A cheap way to sort tickets or route requests without a big model.\n\nThe Pi team changed its mind because MCP got better, and now runs tool calls through a harness-side JavaScript layer called Codemode. Worth reading if you are deciding whether your agent needs MCP.\n\nHis great-great-grandfather was a village farrier who became a mechanic when cars arrived. His advice to developers worried about AI: keep the why, let go of the how.\n\nSix months ago I wrote about how to kill the code review, and I was wrong. I still think line-by-line The post Kill the code review theater, keep the… · The New Stack\n\nEach lab commits to internal controls, an oversight team, outside auditors and an independent review committee. A separate order tells agencies to say \"super intelligence\" instead of AI.\n\nFor now it points people to other websites, and features like passport applications are listed for 2027. The budget office has 90 days to tell agencies how to hook in.\n\nAnthropic opened an incident at 14:21 UTC Tuesday and applied a fix by 14:41, though some sign-ins and sessions kept failing. Have a fallback model ready for work that cannot wait.\n\nOnly 104 of 186 large Dutch data centers reported to the national agency, despite an EU rule for sites of 500 kW and up. Dutch data centers used 4.6 percent of the country's power in 2024.\n\nTVA's 300 MW BWRX-300 at Clinch River in Oak Ridge, Tennessee, got its permit about 17 months after applying. The first one sets the pace for the rest.\n\nResearchers recovered 2,700 directory inodes from other workloads, and Cloudflare Sandboxes, built on Containers, were hit too. It was fixed the day it was reported, and Cloudflare saw no sign of outside use.\n\nThe BriefOpenAI released GPT-6.1 Sol at DevDay on Tuesday and says it matches GPT-6 Astra, its top model, on a hard coding test at about a fifth of the cost (tokens are the chunks of text AI models bill by). It lists at $2 per million input tokens and $10 per million output, the same as GPT-6 Sol, and cached input drops to 10 cents. If you pay for GPT-6 Sol or Astra through the API, test gpt-6.1-sol on your own work this week, and read its safety card first: OpenAI rates it Critical for cybersecurity.\n\nLevel UpBefore you switch models, run 20 of your own real tasks through the old model and the new one and compare the answers side by side. Then read the GPT-6.1 Sol system card addendum, which shows where it does worse, including a coding misrepresentation rate of 1.50 percent against 1.30 percent for GPT-6 Sol. →OpenAI: GPT-6.1 Sol system card addendum", "url": "https://wpnews.pro/news/ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of", "canonical_source": "https://theainewsreport.com/2026-09-30.html", "published_at": "2026-09-30 14:15:25+00:00", "updated_at": "2026-09-30 14:48:26.831395+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products", "ai-safety", "generative-ai"], "entities": ["OpenAI", "GPT-6.1 Sol", "GPT-6 Astra", "GPT-6 Sol", "DevDay", "ChatGPT"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of", "markdown": "https://wpnews.pro/news/ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of.md", "text": "https://wpnews.pro/news/ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of.txt", "jsonld": "https://wpnews.pro/news/ai-news-report-september-30-openai-gpt-6-1-sol-matches-astra-on-coding-at-a-of.jsonld"}}