Field noteOct 24, 20261 min read1 source

Moonshot released Kimi K3.1 Pro , a 2.8T total / 104B active MoE with 1M-token context.

In one minute

Moonshot has released Kimi K3.1 Pro through the Kimi API.

What changed: Moonshot has released Kimi K3.1 Pro on its API, adding its 1M-token context, pricing, benchmarks, and a promised full-weights release by Nov. 4 to the earlier K3.1 teaser.

The model is a mixture-of-experts system with 2.8 trillion total parameters, 104 billion active parameters, and a stated context window of up to one million tokens.

The standard API price is $2.00 per million input tokens and $10.00 per million output tokens. Moonshot also offers a Highspeed version described as two to three times faster, priced at twice the standard rate except for input cache hits. The model supports low, medium, and max reasoning settings.

Kimi K3.1 Pro is not yet available as open weights. Moonshot says it will release the full model weights by November 4, 2026. The supplied source reports benchmarks published by Moonshot and an Artificial Analysis score, but those results do not establish independent performance for a particular workload, deployment, latency target, or cost profile.

Evidence / sources

  1. 1simonwillison.net/2026/Oct/23/kimi-k31-pro
All Field Notes

Next reads

Read next

Open the graph
  1. 01topicModelsExplore the models topic hub.
  2. 02archiveField NotesOpen the latest editorial analysis.
  3. 03source ledgerSource LedgerInspect the public source evidence graph.
Who read this page?Machine requests, hidden until opened

Loading the privacy-safe route aggregate...

Open the JSON contract