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Canopy Wave

Last updated 2026-07-28 · benchmark measured 2026-09-21 — deterministic & reproducible

Kimi K3 API: Moonshot AI’s flagship model with 2.8 trillion parameters, 1M token context, and native multimodal capabilities. Built for complex coding, reasoning, and knowledge work. Try via Canopy Wave API.

83/100
7/7 frames
Top 33% of 13,829 measured · #12 of 34 in llm inference api
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-09-21 · scores move as sites change

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Legit.Show scored Canopy Wave 83/100 on 2026-09-21, measured across all 7 frames from its public surface. legit.show/s/canopywave-com/2026-09-21

Is Canopy Wave production-ready?

Legit.Show scores Canopy Wave 83 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Canopy Wave (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Privacy; its weakest is Security. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who built it

product account @CanopyWave_AI

Pricing

$3.00 per 1M input tokens, $15.00 per 1M output tokens, $0.30 per 1M cache tokens

Visit Canopy Wave → · How this was measured →

See how Canopy Wave ranks among tested llm inference api products →

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