Asana completed a years-long code migration in 2 weeks with Codex
Asana used OpenAI Codex to replace an outdated testing system in two weeks, with about $12K in model and infrastructure costs.
Asana used GPT‑6 Astra in Codex to reduce the cost of its browser agent by 76 times and increase its speed by five times in tests. The improvement allows the company to provide customers with more capable models at a lower cost and faster performance.
Asana used OpenAI Codex to replace an outdated testing system in two weeks, with about $12K in model and infrastructure costs.
Asana leveraged OpenAI Codex to overhaul an antiquated testing system, accomplishing in just two weeks what had previously required five years of engineering effort. The project cost approximately $12,000, demonstrating a rapid and cost-effective solution to a long-standing technical challenge.
GPT‑6 Astra is a new OpenAI model rolling out today to a limited set of organizations and soon to all ChatGPT Plus, Pro, Business, Enterprise users, and via the OpenAI API and AWS. It is priced at $10/million input and $50/million output, matching Claude Fable 5/5.1, and outperforms Fable on most OpenAI self‑reported benchmarks, achieving 99.9% on the ARC‑AGI 3 benchmark with a custom Provider Adapter harness. Astra excels in security tasks—scoring 100% on ExploitBench, 42.4% on ExploitGym, and 99.2% on SRE‑Bench—and handles long context well, hitting 100% on OpenAI’s eight‑needle benchmark at 256K–512K tokens and 96.3% at 512K–1M tokens, though it remains behind Fable on the Intelligence Index and Meta’s Muse Spark 1.3.
Why this matters less for what Astra can do and more for what every other model hasn't been tested for The post GPT-6 Astra Just Hit OpenAI's Highest Cybersecurity Risk Level appeared first on Towards...
The article titled "How to Maximize GPT-6 Astra" shares the author’s first impressions of OpenAI’s new frontier model. It discusses initial experiences and observations with GPT-6 Astra, offering insights into its capabilities and potential applications. The post was originally published on Towards Data Science.
Fine-Tuning GPT-4o Webinar
Proaction leverages Codex, GPT‑Live‑1, and GPT‑6 Astra to accelerate the development, operation, and sales of modern fleet management solutions, achieving a 60% increase in sales and saving over 75 hours of work.
Parallel cut research time and cost in half with GPT‑6 Astra. GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor‑market data in half the time and at half the cost versus prior models.
OpenAI introduces GPT‑6.1 Sol, a new model described as near‑Astra intelligence for coding, computer use, and professional work. It offers these capabilities at one‑fifth of Astra’s standard API input and output token prices, implying a more cost‑effective solution for developers and businesses.
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.
LegalOn reduced its estimated daily Codex costs by 65% while keeping development speed unchanged. The company matched the performance of Astra, Sol, and Luna on tasks and strategically managed budgets to achieve this cost reduction.
Explore lower GPT‑5. 6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.