Skip to content
Modelsmedium signalpartially confirmed

ChatGPT, Claude, Grok, and Gemini all had trouble inside the same two hours on September 3

On September 3, 2026, Anthropic logged elevated errors across Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5, OpenAI logged elevated errors across ChatGPT and Codex, Grok showed users an error message, and third-party monitors recorded a likely Gemini API interruption. Four independent providers, one morning. No status page names a shared cause, and Amazon Web Services, Microsoft Azure, and Cloudflare reported nothing major. For anyone whose product calls more than one of these, this is the failure mode that a second provider does not fix.

By Redakcija WebAiRadarPublished 2 min readwritten by a model

Source

Claude Status — Incident History

Anthropic News · Original published September 3, 2026

Individually, each of these incidents is a normal bad morning. Together they are the case that most fallback plans quietly assume cannot happen: four separate vendors degrading inside the same two hours, with no shared cloud outage underneath to explain it.

What the status pages actually recorded

Anthropic's incident history shows an entry titled elevated errors for multiple models on September 3, 2026, running from 13:26 to 16:23 UTC, with impact ending at 16:16 UTC. Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5 are named. A separate, shorter entry covers elevated errors on Claude Sonnet 5 from 12:37 to 12:56 UTC the same day.

OpenAI's history shows elevated errors across ChatGPT and Codex, marked resolved, with one operational footnote worth reading if you use Codex remotely: some remote-control users may need to pair their mobile device again after the incident. That is the kind of aftershock that outlives the outage itself.

Grok and Gemini are the less certain half

Neither xAI nor Google published an incident that Ars Technica could point to, so this half of the story rests on user reports and third-party monitoring rather than on the vendors. Ars reports that DownDetector submissions for Grok rose from fewer than 10 shortly before 9 am Eastern to 1,365 by 9:45 am, and that Gemini reports went from 23 around 10:30 am to 412 just after 11. It also cites StatusGator recording what that service calls a likely outage of the Gemini API between 10:45 and 11:15 am.

Treat those two differently from the first two. A status page is the operator saying what broke; a spike in user reports is a crowd saying something felt broken. Both are evidence, but only one of them is the vendor's own record.

Why this matters more than any single outage

The usual answer to a model provider going down is a second model provider. September 3 is the morning that answer did not help, because the second and third choices were degrading at the same time. Ars reports the baseline these incidents sit against: Claude at 99.4% uptime over the previous 90 days, ChatGPT at 99.63%, and ChatGPT Codex at 100%.

One possible explanation is contagion rather than coincidence: when one provider slows, traffic moves to the others, and the others meet a spike they did not plan for. Nothing on any status page confirms that, and no shared cause has been published. What is confirmed is the shape of the failure, and the shape is what you design against.

The practical conclusion is unglamorous. A fallback chain that only switches vendors buys less than it appears to. Queue the work, make retries idempotent, degrade the feature instead of the whole page, and tell the person waiting what is happening. That plan costs the same whether one provider is down or four are.

Having all four experience interruptions in the same short period is practically unheard of.
Kyle Orland, Ars Technica

Sources

Related

Modelsmedium signal

NeoMME's 260M encoder lands within 0.002 of a 3.75B model on ViDoRe v3

H company published NeoMME on September 3, 2026: a pair of multimodal encoders, at 260M and 800M parameters, released under Apache 2.0 and loadable through Hugging Face Transformers. On the ViDoRe v3 document retrieval benchmark the small one scores 0.523 nDCG@10, which is 0.002 behind ColQwen2.5 at roughly 14 times its parameter count. It also encodes about 51 pages per second on a single NVIDIA L40S, and the index it produces can be compressed from about 1.5 MB per page to 6 kB while keeping more than 95% of retrieval quality.

Hugging Faceverified

Modelsstrong signal

OpenAI ships GPT-6 Astra at $10 per million input tokens, with enterprise access off by default

GPT-6 Astra went out on September 3, 2026, first to a limited set of organizations and then, over the following days, to ChatGPT Plus, Pro, Business, and Enterprise. In the API it answers to the name gpt-6-astra at $10 per million input tokens and $50 per million output tokens, and it is also served through Microsoft Azure and Amazon Bedrock. Enterprise workspaces do not get it automatically, because access is off by default at launch and an administrator has to turn it on. OpenAI also says the extra safety checks around this model can pause work in ChatGPT and Codex and stop it outright in the API.

OpenAIverified

Modelsmedium signal

Google's WeatherNext 3 forecasts every hour at 5 kilometers, and you can query it from BigQuery

Google DeepMind and Google Research published WeatherNext 3 on September 3, 2026. It learns from live geostationary satellite mosaics rather than only from physics simulations that carry a six-hour data lag, which lets it produce a new forecast every hour instead of every six. Temperature and moisture come out on a 5-kilometer grid, where WeatherNext 2 worked on 25 kilometers. The forecast data is queryable in BigQuery and Earth Engine today, so this is a release you can build on rather than a paper you can read.

Google DeepMindverified