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Models2026-07-30 · source-backed
Alongside the July 29 launch of ChatGPT for Academic Researchers, free GPT-5.6 Sol Pro for 10,000 researchers this summer scaling to 100,000 through 2027 backed by over $250 million, OpenAI disclosed efficiency work on the harness underlying Codex and ChatGPT Work: 54% fewer output tokens than Claude Fable 5 on coding benchmarks, 80% cheaper operation on the lighter GPT-5.5 Luna, and a 15% efficiency gain after GPT-5.6 rewrote OpenAI's own production kernels via Codex. The two announcements are coupled. Cheaper inference is what makes giving the model away at this scale viable.
Each link below shares sources, entities, or timing with this story.
OpenAI launched the GPT-5.6 family on July 14: Sol (flagship), Terra (cost-optimized), and Luna (fast tier), live across ChatGPT, Codex, and the API the same day after a US-government-requested delay for security review. The numbers are loud. Sol scored 53.6 on Agents' Last Ex...
Four frontier models. Five sealed engineering problems. The result everybody will quote is that Claude Fable 5 won. The result that should actually change how you work is buried three-quarters down the page. JuliaHub published an evaluation on July 30 running four frontier mod...
GPT-5.6 Luna went to $0.20 input / $1.20 output per million tokens on July 30. That's an 80% cut. Terra dropped 20%. Luna's input now undercuts Gemini 3.1 Flash-Lite ($0.25/$1.50) and sits at one-fifth of Claude Haiku 4.5's $1 input. Simon Willison covered the announcement and...
OpenAI released GPT-5.4 simultaneously across ChatGPT, API, and Codex — the first unified triple release. Built-in computer-use capabilities (build-run-verify-fix loop), 1.05M token context, and 33% fewer false claims vs GPT-5.2. A new experimental "Playwright Interactive" ski...
Two thirds. Not two thirds of a contrived jailbreak set. Two thirds of realistic malicious issue requests, against the exact three tools most of the people reading this run daily. Ankur Singh, Jinqiu Yang, and Tse-Hsun Chen built IssueTrojanBench across four attack categories...
OpenAI shipped GPT-5.5 on April 23, six weeks after 5.4. The capability jump is real: 82.7% on Terminal-Bench 2.0 vs Claude Opus 4.7's 69.4%. The Pro tier nearly doubles Opus 4.7 on FrontierMath Tier 4 at 39.6% vs 22.9%. It uses 40% fewer tokens on Codex tasks while matching 5...
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