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

**[Simon Willison](https://daily.dev/sources/simonwillison)** · 6 min read · 0 upvotes · 0 comments

## Summary

Moonshot AI released Kimi K3, a 2.8 trillion parameter model claiming to be the first open 3T-class model. It's priced at $3/million input and $15/million output tokens — the most expensive model from a Chinese AI lab to date — and leads Arena.ai's Frontend Code arena. Simon Willison tested it using his long-running 'pelican riding a bicycle' SVG benchmark, revealing that K3 only has one reasoning effort level (max), uses 13,241 reasoning tokens for a simple prompt, and appears to have an ~85-token hidden system prompt. The post also reflects on the benchmark's diminishing correlation to overall model quality after 21 months, while arguing it still provides useful signal: confirming API access, estimating cost, and testing basic SVG/spatial reasoning capabilities.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://simonwillison.net/2026/Jul/16/kimi-k3>

## Similar posts on daily.dev

- [Everyone Read Kimi K3 as a Price War. It Is the Opposite.](https://daily.dev/posts/everyone-read-kimi-k3-as-a-price-war-it-is-the-opposite--xshhpdjyb) · Medium · 3 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#kimi](https://daily.dev/tags/kimi), [#llm](https://daily.dev/tags/llm), [#openrouter](https://daily.dev/tags/openrouter)

[View this post on daily.dev](https://daily.dev/posts/kimi-k3-and-what-we-can-still-learn-from-the-pelican-benchmark-avvfo2ysr)

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