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Kimi K3, and what we can still learn from the pelican benchmark

ID
5366
Status
summarized
Published
17 Jul 2026, 4:19 AM
Fetched
17 Jul 2026, 5:10 AM
Provider
Simon Willison
Category
developer-ai
Original URL
https://simonwillison.net/2026/Jul/16/kimi-k3/
Source URL
https://simonwillison.net/atom/everything/

Summary

Score
8.0
Created
17 Jul 2026, 5:10 AM
Tags
Audience
developersvibe_codersai_ml_learnersai_agent_users

What happened

Simon Willison reviews Moonshot AI's new Kimi K3 model, highlighting its 2.8 trillion parameters, competitive benchmarks against Claude and GPT, and relatively high API pricing of $3/$15 per million tokens. He also tests the model using his informal 'pelican benchmark' for SVG generation, noting that the correlation between this test and overall model quality has weakened.

Why it matters

For Malaysian developers and AI builders, Kimi K3 represents another powerful option in the rapidly evolving LLM landscape, particularly for frontend code generation where it currently leads. The promised open-weight release by July 27, 2026, could offer local startups a path to self-hosting a state-of-the-art model, though the API pricing is higher than previous Chinese lab releases.

Discussion angle

How informal benchmarks like the 'pelican test' highlight the difficulty of evaluating modern LLMs, and whether Kimi K3's higher pricing is justified for production use compared to established alternatives.

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