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---
title: Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights...
description: Moonshot launched Kimi K3.1 Pro, a 2.8-trillion-parameter mixture-of-experts model with 104 billion active parameters and a 1-million-token context window. The...
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og:description: Moonshot launched Kimi K3.1 Pro, a 2.8-trillion-parameter mixture-of-experts model with 104 billion active parameters and a 1-million-token context window. The...
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# Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed

**[Latent Space](https://daily.dev/sources/latentspace)** · 43 min read · 0 upvotes · 0 comments

## Summary

Moonshot launched Kimi K3.1 Pro, a 2.8-trillion-parameter mixture-of-experts model with 104 billion active parameters and a 1-million-token context window. The API is live now, but open weights are promised for November 4, 2026. Artificial Analysis ranks it fourth on its Intelligence Index at 55, behind Opus 5.5 and Sonnet 5.5. It scored 64% on AA's Cyber Index despite Moonshot removing cyber-related training data. Standard pricing is $2/M input and $10/M output tokens, a third cheaper than K3, with a faster 'Highspeed' tier costing twice as much. Late reactions include unverified allegations that Moonshot solicited undisclosed paid promotion for the launch.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://latent.space/p/ainews-kimi-31>

## Questions this post answers

### What are the specs of Kimi K3.1 Pro and when will the weights be released?

Kimi K3.1 Pro is a mixture-of-experts model with 2.8 trillion total parameters, 104 billion active parameters, and a 1-million-token context window. Moonshot launched the API immediately but promised open weights by November 4, 2026. It offers a standard version and a 'Highspeed' version that is 2 to 3 times faster but costs twice as much.

_Track open-weight releases like this on daily.dev before committing to a model for your stack._

### How does Kimi K3.1 Pro compare to Claude Opus 5.5 and GPT models on benchmarks?

Artificial Analysis ranked Kimi K3.1 Pro fourth on its Intelligence Index with a score of 55, trailing Opus 5.5 at 58 and both Sonnet 5.5 and Muse Wonder Full at 56. On Arena's Code Arena WebDev leaderboard it ranked eighth with 1,692 points, up nine places and 37 points from Kimi K3. It scored 64% on the Cyber Index, the highest publicly accessible result after trusted-access GPT-6 Sol Daybreak Blue at 69%.

_Developers comparing frontier and open models track these shifting rankings on daily.dev._

### How much does the Kimi K3.1 Pro API cost compared to Kimi K3?

Standard Kimi K3.1 Pro pricing is $2 per million input tokens, $10 per million output tokens, and $0.20 per million cached-input tokens, about a third cheaper than K3's $3/$15/$0.30 rates. The faster 'Highspeed' tier costs twice the standard price. However, K3.1 Pro used roughly 14% more output tokens per task on the Intelligence Index than K3, offsetting some of the savings.

_Teams budgeting LLM API costs follow pricing shifts like this one on daily.dev._

## Similar posts on daily.dev

- [Everyone Read Kimi K3 as a Price War. It Is the Opposite.](https://daily.dev/posts/everyone-read-kimi-k3-as-a-price-war-it-is-the-opposite--xshhpdjyb) · Medium · 3 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#open-source](https://daily.dev/tags/open-source), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts), [#moonshot-ai](https://daily.dev/tags/moonshot-ai)

[View this post on daily.dev](https://daily.dev/posts/kimi-3-1-pro-104ba-2-8t-fable-5-1-class-open-weights-narrows-closed-ai-lead-to-1-month-and-pro-h-xrxp9z5dy)

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