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Moonshot releases Kimi K3.1 Pro with enhanced coding and agent capabilities

Moonshot has released Kimi K3.1 Pro, an updated version of its Kimi K3 model, featuring enhanced performance in coding and long agent tasks. While the architecture remains a 2.8T parameter mixture of experts with a 1M context window, the new version shows significant improvements in benchmarks like Terminal-Bench 4.0 and AutomationBench-AA. Although the model weights are not yet publicly available, Moonshot plans to release them by November 4th, making it a competitive open-weight model. AI

IMPACT Enhances competition in open-weight models, particularly for coding and long-context tasks.

RANK_REASON New model release from a frontier lab (Moonshot). [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Moonshot releases Kimi K3.1 Pro with enhanced coding and agent capabilities

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86 / 100
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Significant
New model release from a frontier lab (Moonshot). [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, product
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · David ·

    Kimi K3.1 Pro is out: what changed from K3, what it costs, and when you can run it yourself

    <p>Moonshot released Kimi K3.1 Pro on October 23. It's the same 2.8T parameter mixture of experts as Kimi K3 (about 104B active per token, 1M context, text and image input), trained further for coding and long agent runs. The weights aren't out yet; Moonshot promises them by Nove…