The first model in Moonshot's new K3.1 series is a post-trained Kimi K3 the lab calls its most capable 3T-class open-weight model — keeping the 1M-token context, pairing with a Highspeed sibling Moonshot says runs 2–3x faster at the same capability, and landing below K3's launch pricing.
2026-10-23 · by Moe Ameen
Moonshot AI, the Beijing lab behind the Kimi series, introduced Kimi K3.1 Pro in late October 2026 as the first model in a new K3.1 series. Moonshot describes it as a post-trained version of its Kimi K3 flagship — the same base model with substantially more post-training compute — and calls it its most capable "3T-class" open-weight model to date. It is served across kimi.ai, the Kimi apps, Kimi Work, Kimi Code, and the Kimi API, where the model IDs are kimi-k3.1-pro and kimi-k3.1-pro-highspeed. At launch it is off by default for organizations: an enterprise administrator has to enable it, and Zero Data Retention is offered to API customers.
On specs, K3.1 Pro keeps K3's 1-million-token context window and native multimodal input. It ships alongside a faster sibling, Kimi K3.1 Pro Highspeed, which Moonshot says delivers roughly two to three times the speed of K3.1 Pro with identical model capabilities — the only stated difference between the two is responsiveness, and third-party listings put Highspeed at roughly double the price and quota. Full open weights are slated to follow the hosted launch, with Moonshot pointing to on or around November 4, 2026. Moonshot describes the model only as "3T-class"; third-party write-ups put it around 2.8 trillion total parameters with a fraction active per token, so treat the exact count as approximate until the model card is public. Reported launch API pricing is near $2 per million input tokens and $10 per million output (cached input around $0.20), down from K3's roughly $3/$15 — but those figures come from third-party providers rather than Moonshot's own page, so confirm current pricing on Moonshot's site.
Rather than lead with one headline number, Moonshot frames K3.1 Pro around coding, agentic work, 3D creation and modeling, and financial research. Its own benchmarks put coding near Claude Opus 5.5 — a Terminal-Bench 4.0 figure around 65.7% versus 66.4% for Opus — and claim a sharp reduction in hallucination versus K3 on its internal stress test. Those are first-party benchmarks measured by Moonshot, so weigh them as such until independent leaderboards land. The broader story analysts drew is the familiar one: a Chinese lab shipping a cheaper, faster, open frontier model keeps pushing frontier intelligence toward a commodity.
There are two ways to act on this launch today, and Kompozy powers both. The immediate one is the newsjack: this is a release your audience is already searching, so publish your take this week. Drop a short brief — what K3.1 Pro is, the 1M context it carries over from K3, the Highspeed 2–3x speed claim, why pricing below $3/$15 matters — into Kompozy and it becomes a same-day package: a captioned Persona Short or Clipped Short explaining the launch, a brand-exact Carousel comparing K3.1 Pro to Opus 5.5 and the K3 pricing it undercuts, a Quote Graphic on the Highspeed line, native Text Posts for X and LinkedIn, a Blog Article for the long-tail search, and an Email Newsletter to your list — all held to one voice by your Persona Brief and reframed to 9:16, 1:1, and 16:9, then scheduled and published across nine platforms plus blog and email from one queue.
The sharper read is about speed, and it cuts against the instinct the Highspeed variant invites. A faster model answers quicker; it does not ship your content any faster, because your posting cadence was never bottlenecked on token latency — it was bottlenecked on turning an idea into finished, on-brand media across every platform. That is the layer K3.1 Pro doesn't touch and Kompozy is built to be. You don't pick or operate a raw model; Kompozy runs its own managed Claude and OpenAI models and hands you outcomes — 18 content formats, persona and avatar video a model can't render, brand-voice governance, and autopilot publishing. So a cheaper, faster K3.1 Pro is the kind of raw intelligence the engine stands on, while you keep the part that actually compounds: a recognizable brand, shipped everywhere, on schedule.
Kimi K3.1 Pro is the first model in Moonshot AI's new K3.1 series, launched in late October 2026. Moonshot describes it as a post-trained version of its Kimi K3 flagship — its most capable 3T-class open-weight model to date — keeping a 1-million-token context window and native multimodal input, and served across kimi.ai, the Kimi apps, Kimi Work, Kimi Code, and the Kimi API.
Speed, not capability. Moonshot says Kimi K3.1 Pro Highspeed (API ID kimi-k3.1-pro-highspeed) runs roughly two to three times faster than K3.1 Pro with identical model capabilities, for more responsive interactions. Third-party listings put the Highspeed variant at roughly double the price and quota of the standard model.
Reported launch API pricing is near $2 per million input tokens and $10 per million output (cached input around $0.20), below K3's roughly $3/$15 — but those figures come from third-party providers, so confirm on Moonshot's own pages. Moonshot framed it as an open-weight model with full weights slated to follow the hosted launch, pointing to on or around November 4, 2026.
Not finished content. K3.1 Pro drafts text and code, reasons over long inputs, and reads images, but it renders no captioned video, branded graphics, or scheduled posts. To act on the launch as a creator — an explainer short, a comparison carousel, a blog, and platform-native posts — run a draft through a content engine like Kompozy, which generates 18 formats and publishes across nine platforms plus blog and email.