Kimi K3 and China's Open-Weight Model Wave

Moonshot AI released Kimi K3 on July 16, and the benchmarks put an open-weight model next to the best closed ones for the first time. The catch is access. K3 sits on Moonshot's platform, GLM-5.2 on Z.ai's, DeepSeek V4 Pro on DeepSeek's, MiniMax M3 on MiniMax's — four accounts, four billing relationships, four API dashboards, all before you have written a line of code.

LLM Gateway routes every one of them through a single OpenAI-compatible endpoint. One key, one bill, and a switch between Kimi K3 and any of — a flat monthly plan that works with Claude Code, OpenCode, Cline, Cursor (chat/plan mode only), and anything else OpenAI- or Anthropic-compatible:

Every dollar of allowance is metered at the provider rates above, so on Pro you get roughly $237 of model usage for $79 — and a runaway agent loop cannot produce a surprise invoice.

One gating detail to know: at $15 per million output tokens, Kimi K3 counts as a premium-tier model on DevPass, so it draws from a weekly premium allowance — roughly $10 per week of premium usage on Lite, $36 on Pro, and $97 on Max, on top of your monthly pool. GLM-5.2, MiniMax M3, and DeepSeek V4 Pro are all standard-tier: no weekly cap, usable until your monthly allowance runs out. A workable pattern is K3 for the hardest tasks and GLM-5.2 or DeepSeek V4 Pro for the bulk of the loop. If you burn through the premium allowance mid-week, a Reset Pass restores it instantly — Pro includes one per cycle and Max includes two.

Or pay as you go

For production apps, PAYG credits skip the subscription entirely. Top up from $10, pay each provider's published per-token price as you go, and LLM Gateway adds a flat 5% platform fee at top-up — the per-token rates themselves are pass-through. You keep the same single endpoint, automatic failover, prompt caching, and cost dashboard, metered to the token.

The two models work together: DevPass for your own coding agents, PAYG for the product you ship.

Frequently Asked Questions

Is Kimi K3 open source?

Kimi K3 is an open-weight model. Moonshot AI announced it on July 16, 2026 and has committed to releasing the full 2.8T-parameter weights by July 27, 2026; the weights license has not been announced yet. The API is live now — self-hosting will be possible once the weights publish, though a 2.8T mixture-of-experts model demands serious hardware, which is why most teams will run it through an API.

How much does Kimi K3 cost?

Through LLM Gateway, Kimi K3 costs $3.00 per million input tokens, $0.30 per million cached input tokens, and $15.00 per million output tokens — Moonshot's published rates. On a DevPass plan it is included in the flat monthly price as a premium-tier model.

What is Kimi K3's context window?

1,048,576 tokens — a full 1M-token context, with output defaulting to 131K tokens and configurable up to the same 1M. The same headline context as GLM-5.2 and DeepSeek V4 Pro.

Can I use Kimi K3 with Claude Code or Cursor?

Yes. LLM Gateway exposes OpenAI- and Anthropic-compatible endpoints, so point your tool's base URL at https://api.llmgateway.io/v1 with your key and select kimi-k3 as the model. In Claude Code and Cline the full agent loop routes through LLM Gateway; Cursor honors an external endpoint only in its chat/plan panel — Composer, inline edit, and autocomplete stay on Cursor's own backend. With DevPass this is covered by the flat monthly rate. Step-by-step setup for each tool: — one key for Kimi K3 and 200+ other models