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Fri, July 1703:49Open SourceModel releasesAPI & pricingChinese modelsModel releases guide

Kimi Open Source Model K3 Nears GPT-5.6 Sol and Fable 5, but Prices Surge

Decision Brief

What changedKimi releases multimodal open-weight model K3 with 2.8 trillion parameters and 1M token context, approaching GPT-5.6 Sol and Fable 5 in performance, but at significantly higher cost.
Why it mattersK3's near-top performance challenges the assumption that open-source models are cheap, forcing self-deploy teams to reassess cost.
Who should careOpen-source model users
Affected stackClaudeOpenAIKimiGLM
Source confidenceMedium · Reliable media or first-hand reporting

Kimi launched open-weight model K3, a multimodal model with 2.8 trillion parameters and 1M token context. In Kimi's benchmarks, K3 approaches Claude Fable 5 and GPT 5.6 Sol, and significantly outperforms Opus 4.8 and GLM 5.2 on many tests. However, K3's price has risen sharply compared to its predecessors, potentially shifting expectations for cost advantage of domestic models. Full weights are scheduled for release on July 27. For teams planning to deploy open-source models, K3's high performance is enticing, but its high cost makes it unsuitable for budget-sensitive scenarios. Developers needing top-tier capabilities may pivot to closed-source APIs or higher-cost local deployment; those seeking low cost may need to wait for other domestic open-source models.

Summary basis: official / RSS sourceCompiled from the source scope noted above; the original remains authoritative.

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