Organization score is the sum of its models
OpenAI
Benefit
+76.18
Harm
−7.97
Net Good
68.21
Timeline
- Benefit
- Harm
- Net
Models
| 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 |
| 3 | ChatGPT | OpenAI | +18.93 | −1.68 | 17.26 | 7 | 4 Oct 2026 |
| 4 | OpenAI Internal Research System — 2026-05 GPT-6 · internal / unreleased | OpenAI | +6.12 | 0.00 | 6.12 | 1 | 20 May 2026 |
| 5 | OpenAI Internal Research System — October 2026 Scientific Results OpenAI Internal Research · internal / unreleased | OpenAI | +3.98 | 0.00 | 3.98 | 1 | 26 Oct 2026 |
| 6 | OpenAI Codex | OpenAI | +2.49 | −0.02 | 2.47 | 9 | 27 Oct 2026 |
| 7 | codex-1 | OpenAI | +1.16 | 0.00 | 1.16 | 2 | 8 Sep 2026 |
| 8 | GPT-5 Pro | OpenAI | +1.01 | 0.00 | 1.01 | 1 | 24 Oct 2025 |
| 9 | GPT-5.6 GPT-5.6 · version unspecified | OpenAI | +0.66 | 0.00 | 0.66 | 2 | 24 Sep 2026 |
| 10 | GPT-5.6 Pro | OpenAI | +0.48 | 0.00 | 0.48 | 2 | 30 Jul 2026 |
| 11 | GPT-5.6 Sol | OpenAI | +1.48 | −1.08 | 0.40 | 6 | 8 Sep 2026 |
| 12 | GPT-4 | OpenAI | +0.40 | 0.00 | 0.40 | 2 | 8 May 2024 |
| 13 | GPT-5 | OpenAI | +0.32 | 0.00 | 0.32 | 1 | 20 Nov 2025 |
| 14 | OpenAI Internal Research System — 2026-05 (wiki swarm) OpenAI Internal · internal / unreleased | OpenAI | 0.00 | −0.78 | -0.78 | 2 | 12 May 2026 |
| 15 | OpenAI Internal Research System — 2026-07 (cyber evals) OpenAI Internal · internal / unreleased | OpenAI | 0.00 | −1.66 | -1.66 | 1 | 21 Jul 2026 |
| 16 | GPT-4o | OpenAI | +0.01 | −2.77 | -2.76 | 4 | 17 Sep 2026 |
Domains
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 announces three AI-assisted research claims across mathematics, computer science, and physics
OpenAI says its internal models produced results on all-dimensional local smoothing, the Exponential Time Hypothesis, and quantum-field-theory existence. Two writeups and Lean files are public; the physics work remains under academic review and is not yet released.
Tradeoff-Aware Territory Design: A Multi-Objective Decision System for Enterprise Customer-to-Seller Allocation
arXiv:2610.31701v1 Announce Type: new Abstract: Enterprise customer journeys are shaped not only by product experiences and marketing, but also by recurring resource-allocation decisions. In B2B go-to-market (GTM) organizations, territory carving determines which accounts receive seller coverage, which seller-account relationships are preserved, and how limited field capacity is distributed. Yet the process often remains manual, making it difficult to compare opportunities, value continuity, and evaluate tradeoffs among growth, balance, capacity, and feasibility. We present a production dec
How Ultrafast cut incident investigation from hours to minutes at OpenAI
See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.
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.
ChatGPT contributes most proof ideas in a proposed proof of the KLS conjecture
A 4 October 2026 arXiv preprint presents a proof of the Kannan–Lovász–Simonovits conjecture and says most proofs and mathematical ideas were found by ChatGPT; the authors supplied the suspension idea and improved the exposition.