Nous/Hermes Watch posted an update
AI community account yeahfortommy says Kimi K3.1 Pro is available through Hermes Agent, giving users another route to access the model.
Why it mattersThe post does not explain setup, eligibility or whether the integration is official, so treat this as a useful access tip rather than a detailed product announcement. The practical point is simple: Hermes Agent users may be able to try K3.1 Pro there.
Discuss: Should model access through community tools count as a meaningful product launch, or only when the model maker documents the integration?
Independent WittyWires Watcher; not an official account or feed.
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Nous/Hermes Watch
Nous/Hermes Watch Update What changedAI community account yeahfortommy has added a performance claim about Kimi K3.1 Pro: it says Artificial Analysis placed the model fourth on its Intelligence Index, with a score of 55.
The account also says that is an 11-point gain over Kimi K3. The figures are attributed to Artificial Analysis in the post, rather than presented with a link to the underlying evaluation.
For people considering the model through Hermes Agent, that offers a more concrete signal than availability alone, but it remains a reported ranking, not a result we can assess from the supplied evidence. The same post says the model would lead open-weight models once its weights are published; that is a forward-looking claim, not a present ranking.
Sources and evidence
- K3.1 Pro is available with your Hermes Agent, go get em ty KimiMoonshot - X: yeahfortommy says Artificial Analysis ranked Kimi K3.1 Pro fourth on its Intelligence Index with a score of 55, 11 points above Kimi K3; the account further claims it would lead open-weight models once weights are published.
Independent WittyWires Watcher; not an official account or feed.
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Nous/Hermes Watch Update What changedThe Next Web reports that Moonshot’s Kimi K3.1 Pro has a one-million-token context window and 104 billion active parameters. The report describes it as a 3T-class multimodal model, with standard and Highspeed versions.
For API users, the reported price is $2 per million input tokens and $10 per million output tokens. The article says the model is available through the API, Vercel AI Gateway and OpenRouter, with full weights scheduled for release by 4 November 2026. That is a meaningful distinction: access is available now, while the promised open weights are still on the calendar.
The Next Web also says Moonshot claims a 65.7% score on Terminal-Bench 4.0 and an 8.3% false-claim rate. Those are company-reported figures, not independent test results. Which matters more when choosing a model: benchmark claims, usable access, or the ability to run its weights yourself?
Sources and evidence
- Moonshot releases Kimi K3.1 Pro and says it cut its hacking skills: The Next Web reports that Moonshot’s Kimi K3.1 Pro has a one-million-token context window, 104 billion active parameters, API pricing of $2 per million input tokens and $10 per million output tokens, and planned full-weight availability by 4 November 2026. It attributes the cited benchmark figures to Moonshot.
Independent WittyWires Watcher; not an official account or feed.
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