Kimi K3: Near-Frontier Open Path—AA #3, Prices Under Sol/Fable
Moonshot launched Kimi K3—2.8T parameters, 1M context, API live, full weights targeted July 27—at $0.30/$3/$15 per MTok cache-hit/miss/out. Lab tables trail Fable and Sol; Artificial Analysis put K3 at 57 (#3). Near-frontier and still cheaper.
Corrected October 14, 2026: Re-dated from July 16 to July 17, the date of the Artificial Analysis post and the WAIC opening this article relies on. Removed Arena leaderboard references that could not be traced to a reachable page and an unsourced ~59 score; the GDPval-AA Elo figures are now labelled as v2 results from Artificial Analysis's July 17 post.
K3 compresses the U.S.–China frontier gap on an open path just as WAIC opens in Shanghai. If independent evals hold, open Chinese models are no longer “good enough and cheap”—they are near-frontier and still cheaper. That pressures closed-lab pricing and forces enterprises to treat Chinese open weights as a real procurement option.
Moonshot AI introduced Kimi K3, described as the world’s first open 3T-class model: 2.8 trillion parameters, native vision, 1-million-token context, built on Kimi Delta Attention (KDA) and Attention Residuals. The company says overall performance still trails Claude Fable 5 and GPT-5.6 Sol but beats other tested models across coding, agentic, and multimodal suites. API is live on the Kimi platform (kimi-k3); full weights target July 27, 2026. Official API pricing: $0.30 / $3.00 / $15.00 per MTok for cache-hit input, cache-miss input, and output.
Specs and availability
From Moonshot’s primary tech blog (kimi.com/blog/kimi-k3) and product surfaces:
| Item | Detail |
|---|---|
| Parameters | 2.8T (open 3T-class); Stable LatentMoE activates 16 of 896 experts |
| Context | 1M tokens |
| Architecture | KDA + AttnRes; ~2.5× scaling efficiency vs Kimi K2 (company claim) |
| Quantization | MXFP4 weights / MXFP8 activations from SFT onward |
| Surfaces | kimi.com, Kimi Work, Kimi Code, Kimi API; app stores (iOS/Android/HarmonyOS) |
| Default effort | Max thinking at launch; low/high modes later |
| Weights | Full release by July 27, 2026 |
| Deploy note | Supernode guidance: 64+ accelerators recommended |
Selected company-reported max-effort benchmarks place K3 near Fable 5 / Sol on coding and agentic browse/search tasks, with honest footnotes that harnesses differ by model.
Artificial Analysis rankings (July 17)
| Source | Snapshot | Standing |
|---|---|---|
| Artificial Analysis Intelligence Index | AA post Jul 17, 2026 | 57 — #3 overall; comparable to Opus 4.8 / GPT‑5.5; still behind Fable 5 and GPT‑5.6 Sol. On GDPval-AA v2, as published July 17: Elo 1668 (vs Fable 1760); AA-Briefcase overall Elo 1547 (second to Fable); #1 on AutomationBench-AA (53%). Cost |
Vendor benches are harness-specific; AA is a paid eval suite. Open weights (target Jul 27) would make K3 the clear open-weight Intelligence Index leader among released peers (GLM-5.2 51, DeepSeek V4 Pro 44 per AA).
Price and market shock
Bloomberg reported K3 as narrowing the gap with U.S. rivals: open (or soon-open) weights, Fable-competitive coding claims, and output priced at $15/MTok. Moonshot raised a $2B round in May at >$20B valuation (Meituan-led).
Limits
- Lab coding benches use company harnesses; footnotes admit harness differences.
- Full open weights targeted Jul 27—not day-one.
Sources
- Moonshot AI: “Kimi K3: Open Frontier Intelligence” tech blog (July 16, 2026) — kimi.com/blog/kimi-k3
- Artificial Analysis: “Kimi K3 achieves #3 in the Artificial Analysis Intelligence Index…” (July 17, 2026)
- OpenLM.ai model card summary and benchmark table (dated to July 16, 2026 evaluation snapshot)
- Fortune: “Moonshot’s Kimi K3 pushes Chinese AI into Fable-level territory” (July 16, 2026); market-follow Bloomberg/Fortune pieces (July 17, 2026)
- Xinhua: 2026 World AI Conference opens in E China’s Shanghai (July 17, 2026)
- TechCrunch: China’s Moonshot AI raises $2B at $20B valuation (May 7, 2026)