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Chinese AI labs release open-weight MoE models: Kimi K3, DeepSeek V4 Pro, GLM-5.2

By PulseAugur Editorial · [2 sources] ·

Three major Chinese AI labs have released powerful open-weight Mixture-of-Experts (MoE) models: Moonshot AI's Kimi K3, DeepSeek V4 Pro, and Zhipu AI's GLM-5.2. These models are designed for long-horizon coding and agent tasks, featuring million-token context windows. Kimi K3 leads in benchmark performance and is positioned as the first open 3T-class model, though its weights are not yet publicly available and serving costs are higher. DeepSeek V4 Pro offers the most cost-effective serving and is MIT-licensed, while GLM-5.2, though smaller, remains a capable option with a similar license. AI

IMPACT These models advance open-source AI capabilities, offering alternatives for long-context tasks and potentially lowering costs for developers.

RANK_REASON Comparison of multiple open-weight AI models on benchmarks, licensing, and cost.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Chinese AI labs release open-weight MoE models: Kimi K3, DeepSeek V4 Pro, GLM-5.2

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0 / 100
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Research
Comparison of multiple open-weight AI models on benchmarks, licensing, and cost.
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2 independent sources
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model release, product
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High
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79 days old
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Full methodology in our editorial standards.

COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

    <p>Three open MoE flagships face off on measured intelligence, MIT versus Modified MIT weights, and real serving cost</p> <p>The post <a href="https://www.marktechpost.com/2026/07/18/kimi-k3-vs-deepseek-v4-pro-vs-glm-5-2-open-trillion-scale-moe-models-compared-on-benchmarks-licen…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Three Chinese AI labs have released open-weight MoE models. Kimi K3 leads on benchmarks but costs more to serve. DeepSeek V4 Pro is cheapest at 0.04 USD per tas

    Three Chinese AI labs have released open-weight MoE models. Kimi K3 leads on benchmarks but costs more to serve. DeepSeek V4 Pro is cheapest at 0.04 USD per task. GLM-5.2 balances performance and cost. https://www. marktechpost.com/2026/07/18/ki mi-k3-vs-deepseek-v4-pro-vs-glm-5-…

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