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Moonshot releases Kimi K3.1 Pro, fourth on AA index

Original title: Chinese AI model Kimi K3.1 Pro is closing in on Anthropic's Claude Opus 5.5

The Decoderby Matthias Bastian ()4 min read2
Part of a story covered by 8 sourcesMoonshot ships Kimi K3.1 Pro; full weights still due November 4Merged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

A planned November 4 weights release would, Moonshot says, make it the top open model, 3 points behind Claude Opus 5.5.

Moonshot AI released Kimi K3.1 Pro, a post-trained Kimi K3 variant that Artificial Analysis scores at 55 on its Intelligence Index, fourth behind Claude Opus 5.5 at 58. A faster K3.1 Pro Highspeed variant is also available through Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Moonshot says weights are planned by November 4, 2026, and that cyber-related data was removed from training for that release.

Unconfirmed: Index placement and several scores are attributed to Artificial Analysis or Moonshot, and the open-weights release is planned rather than confirmed.

Key facts
  • The model has 2.8 trillion total parameters, 104 billion active, and a one-million-token context window.
  • Input is $2 per million tokens and output $10, down from $3 and $15.
  • On Terminal-Bench 4.0, Moonshot reports 65.7 percent versus 13 percent for K3.
  • After cyber-data cleaning, Moonshot says xdev-bench-hard success fell from 90.5 percent to 81.0 percent.
  • Moonshot says claim-level hallucinations on its internal bench fell from 23.4 percent to 8.3 percent.
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From the original article

4 min read at the-decoder.com

Moonshot AI's Kimi K3. 1 Pro scores 55 points on the Artificial Analysis Intelligence Index, an 11-point jump over its predecessor that puts it in fourth place. Only three Anthropic and Meta models rank higher.

The Decoder

By Matthias Bastian · the-decoder.com

Read the full article at The Decoder

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.