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Moonshot AI releases Kimi K3.1 Pro with 1M context window and 2.8T parameters

By PulseAugur Editorial · [1 sources] ·

Moonshot AI has launched Kimi K3.1 Pro, a new model in its K3.1 series, featuring 2.8 trillion total parameters with 104 billion active parameters in a Mixture-of-Experts architecture. This model boasts a 1-million-token context window and is positioned to compete with leading proprietary models on various benchmarks, including coding and agentic tasks. While Kimi K3.1 Pro shows strong performance in coding, particularly on the SWE-Marathon benchmark where it surpasses Claude Opus 5.5, it lags behind models like GPT-6 Astra and Claude Opus 5.5 in scientific reasoning tasks. AI

IMPACT Sets a new standard for context window length and parameter count in open-weight models, potentially driving competition in long-context AI.

RANK_REASON Frontier-lab model release with system card and benchmark comparisons. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on MarkTechPost →

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

Moonshot AI releases Kimi K3.1 Pro with 1M context window and 2.8T parameters

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42 / 100
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Significant
Frontier-lab model release with system card and benchmark comparisons. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context

    <p>Moonshot AI released Kimi K3.1 Pro, a 2.8T-parameter, 104B-active MoE model with 1M-token context. It scores 65.7% on Terminal-Bench 4.0, costs $2/$10 per million tokens, and open weights arrive by Nov 4, 2026.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/23/m…

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