# Kimi K3.1 Pro, Explained

> https://lab.awaara.cn/kimi-k3-1-pro/ — Moonshot's 2.8T open-weight model (Oct 23, 2026): $2/$10 API pricing, cost calculator, benchmark table, and the November 4 open-weights question. Independent explainer, not affiliated with Moonshot.

Kimi K3.1 Pro is the first model in Moonshot's K3.1 series, released October 23, 2026. It is not a new base model: Moonshot describes it as Kimi K3 pushed through far more reinforcement learning across hundreds of downstream domains. The architecture is a mixture of experts with 2.8 trillion total parameters and 104 billion active per token, a 1-million-token context window, text and image input, and text output.

On benchmarks, Artificial Analysis puts it fourth on the Intelligence Index with a score of 55, behind only Claude Opus 5.5 (58), Claude Sonnet 5.5 (56) and Muse Wonder Full (56), and 11 points above Kimi K3. Its largest gains are in agentic tests: GDPval-AA 1,846 Elo (up 312), Terminal-Bench 4.0 67% measured independently (Moonshot reports 65.7%), and AutomationBench-AA up from 58% to 73%. It is weaker on science reasoning than GPT-6 Astra.

Moonshot's own benchmark claims (not independently verified) include 65.7% on Terminal-Bench 4.0 versus 66.4% for Claude Opus 5.5, 61.2% on Kimi Code Bench 3.0, and a claim-level error drop from 23.4% (K3) to 8.3% on its internal hallucination test.

API pricing is $2 per million input tokens, $10 per million output tokens, and $0.20 per million cache-hit tokens, 33% below Kimi K3 on all three lines. The companion Kimi K3.1 Pro Highspeed runs 2 to 3 times faster (Moonshot's claim) at $4/$20. Reasoning is always on, with effort levels low, high and max (max is default). Vision input needs base64; public image URLs are not accepted.

Moonshot has committed to publishing the full open weights by November 4, 2026; no license terms have been disclosed. Artificial Analysis expects the release to become the highest-scoring open-weight model on its index.

This page is free. The cost calculator and the countdown run in the browser; nothing is collected.

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