Kimi K3

Moonshot AI released Kimi K3, a 2.8-trillion-parameter Mixture-of-Experts model with native 1M context and vision capabilities, claiming it ranks #1 on the Artificial Analysis webdev arena. The model is open-weight but requires 64+ accelerators for self-hosting, with cloud API pricing at $3 per million input tokens.

Kimi K3 MoE premier2.8T total params, Stable LatentMoE 16 of 896 experts active per token built on Kimi Delta Attention hybrid linear attention + Attention Residuals. Gated MLA, Quantile Balancing routing, Per-Head Muon optimizer, SiTU activation; MXFP4 weights / MXFP8 activations QAT . Native 1M context, native vision text + image + video in, text out , always-on thinking mode reasoning effort currently "max" only , full function/tool calling with MCP, automatic prompt caching 90% cache-hit on coding . Independent eval: 1 on Artificial Analysis webdev arena 1679, ahead of Claude Fable 5 at 1631 and 4 of 189 on the AA Intelligence Index 57 - comparable to Opus 4.8 / GPT-5.5, behind Fable 5 / GPT-5.6 Sol. Vendor benchmarks GPQA-Diamond 93.5, HLE 43.5, Terminal Bench 2.1 88.3, FrontierSWE 81.2, MMMU-Pro 81.6 are Moonshot self-reported. Open weights announced world's first open 3T-class model but not yet public on HuggingFace as of release day - full weights scheduled by 2026-07-27. Cloud API $3/1M in, $15/1M out cache-hit input $0.30/1M ; self-hosting needs a 64+ accelerator supernode, so cloud-only for nearly everyone despite open weights. - 2800.0B - 1000k - other - Jul 2026 Scores Or run it in the cloud No per-token API provider pricing tracked for Kimi K3 yet. For flagship list prices, see the token counter /token-counter . Detailed API pricing page + JSON endpoint → /models/kimi-k3/pricing Inference cost over time Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.