# The Decoder — Chinese AI model Kimi K3.1 Pro is closing in on Anthropic's Claude Opus 5.5

- Company: The Decoder (the-decoder.com)
- Announced: 2026-10-23T19:00:07+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://the-decoder.com/chinese-ai-model-kimi-k3-1-pro-is-closing-in-on-anthropics-claude-opus-5-5/
- Record: https://forck.live/items/27237-chinese-ai-model-kimi-k3-1-pro-is-closing-in-on-anthropic-s-claude-opus-5-5
- Subject: Reporting
- Models affected: Kimi K3.1 Pro, Kimi K3.1 Pro Highspeed, Kimi K3, Claude Opus 5.5, Claude Sonnet 5.5, Muse Wonder Full, GPT-6 Astra, DeepSeek-V4.1-Flash, GLM-5.3, Claude Mythos
- Context window: one million tokens
- Pricing: Input $2 per million tokens (down from $3), output $10 (down from $15), cache hits $0.20 (down from $0.30)

Moonshot AI has released Kimi K3.1 Pro, a post-trained version of Kimi K3 with more post-training compute, which scores 55 points on the Artificial Analysis Intelligence Index and lands in fourth place. The model sits 3 points behind the top proprietary models, with Claude Opus 5.5 at 58, Claude Sonnet 5.5 at 56 and Muse Wonder Full at 56 ranking higher, according to Artificial Analysis. Moonshot is also shipping K3.1 Pro Highspeed, a variant it says runs two to three times faster, and both are available now through Kimi.ai, Kimi Work, Kimi Code and the Kimi API. The model keeps K3's 2.8 trillion total parameters and 104 billion active ones, spans a one million token context window, and handles text and images. Token prices drop by 33 percent: input costs $2 per million tokens, down from $3, output costs $10, down from $15, and cache hits cost $0.20, down from $0.30. Moonshot says it stripped cyber-related data from both training phases for the open-weights release, cutting its internal xdev-bench-hard score from 90.5 percent to 81.0 percent, and plans to release the model weights by November 4, 2026.

## Evidence

Verbatim from https://the-decoder.com/chinese-ai-model-kimi-k3-1-pro-is-closing-in-on-anthropics-claude-opus-5-5/:

> Token prices drop by 33 percent. Input costs $2 per million tokens (down from $3), output costs $10 (down from $15), and cache hits cost $0.20 (down from $0.30).

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