GPT-6
A family is a named generation or product line. Scores below are the sum of its named releases and any documented internal systems in the same line.
Benefit
+45.28
Harm
0.00
Net Good
45.28
Releases
- OpenAI Internal Research System — 2026-05Internal / unreleased
- OpenAI Internal Research System — 2026-09Internal / unreleased
Leaderboard
| Rank | Model | Organization | Benefit | Harm | Net | Events | Last impact |
|---|---|---|---|---|---|---|---|
| 1 | GPT-6 Astra | OpenAI | +20.60 | 0.00 | 20.60 | 12 | 27 Oct 2026 |
| 2 | OpenAI Internal Research System — 2026-09 GPT-6 · internal / unreleased | OpenAI | +18.56 | 0.00 | 18.56 | 3 | 6 Oct 2026 |
| 6 | OpenAI Internal Research System — 2026-05 GPT-6 · internal / unreleased | OpenAI | +6.12 | 0.00 | 6.12 | 1 | 20 May 2026 |
Timeline
- Benefit
- Harm
- Net
Events
Retell uses OpenAI models to help power 100M monthly calls
GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.
OpenAI releases 722 mathematics manuscripts from an unreleased internal model
On 6 October 2026 OpenAI published 722 mathematics manuscripts grouped into 372 result families, produced mostly by an unreleased internal frontier model; some proofs have Lean formalizations, while others remain unverified.
Higgsfield AI ships new video features in a day with GPT-6 Astra
With GPT-6 Astra, Higgsfield AI makes video ad creation easier for small businesses and brings new creative tools to market faster.
Introducing Astra for Law
OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.
OpenAI breakthrough triggers ‘existential crisis’ in math
Claimed Navier-Stokes solution has polarized mathematicians over AI’s role—and what it means for the next generation
Hierarchical temporal transformer for cancer grade prediction and cross cancer transfer learning from pathology reports
Language models for cancer clinical reports carry two blind spots. They read each report in isolation, ignoring how a patients disease changes across visits, and they are evaluated only on cancer types present in their training data. We present the Hierarchical Temporal Transformer (HTT), a two-level architecture that addresses both. Level 1 encodes each report with BiomedBERT adapted by low-rank adaptation (LoRA). Level 2 is a temporal transformer that reads a patients full report sequence using a continuous-time positional encoding built from the measured number of days between visits, with
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
arXiv:2609.11977v1 Announce Type: new Abstract: Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumulate over the full episode, their practical value depends not only on peak capability but also on how efficiently that capability is delivered. Yet many steps in everyday work emphasize state tracking, coordination, recovery, and follow-through rather than frontier-scale reasoning. We present Occamy-1.0, a cost-efficient co-work model obtained by further training the po
GPT-6 Astra proves the core is nonempty in approval-based committee elections
On 10 September 2026 Becker, Greger, and Dominik Peters posted a proof that every approval-based committee election has a core-stable committee. They attribute the primary idea and proof to GPT-6 Astra in a lengthy interactive session. Epoch marked the FrontierMath Open Problems item Solved (human + AI).