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Moonshot AI's Kimi K3 offers 1M context at 1/3 GPT-5.6 cost

Moonshot AI has released its Kimi K3, a 2.8 trillion parameter Mixture-of-Experts model, offering a 1 million token context window at a significantly lower cost than competitors like GPT-5.6 Sol and Claude Fable-5. The model excels in frontend coding tasks, ranking first globally, and demonstrates strong performance in general reasoning and agentic evaluations. Its aggressive pricing, particularly for cached inputs, makes it a compelling option for AI-powered coding assistants and agentic workloads. AI

IMPACT Sets new SOTA on frontend coding benchmarks and drastically lowers cost for agentic workloads.

RANK_REASON Frontier-lab model release with system card. [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 AI's Kimi K3 offers 1M context at 1/3 GPT-5.6 cost

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34 / 100
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Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

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

    Kimi K3 API: 2.8T Parameters at 1/3 the Cost of GPT-5

    <h1> Kimi K3 API: 2.8T Parameters at 1/3 the Cost of GPT-5 </h1> <p>Moonshot AI's Kimi K3 landed in July 2026, and it's the first model this year that made me re-run my cost-per-task benchmarks. A 2.8T-parameter Mixture-of-Experts model with a 1M-token context window, priced at r…