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Kimi coding plans in 2026: K2.7, K2.6, and what you actually get

Kimi K2.7 — Moonshot AI’s open-weights flagship — is currently one of the most capable coding models you can run over an API, and its predecessor K2.6 remains a strong, cheaper-to-serve option. If you want Kimi as your daily coding model, you have three realistic routes. As with GLM, they differ less in headline price than in cost shape: what happens to your bill and your workflow when a heavy week hits.

Moonshot sells subscription plans aimed specifically at coding-tool usage of Kimi. It’s first-party access, tightly integrated with their own tooling, and the models arrive there first. The trade-off is that the plans are quota-based: each tier grants a usage allowance that resets on a schedule, and burning through it mid-refactor means waiting for the reset or moving up a tier. Tiers and allowances change often enough that any number printed here would go stale — check Moonshot’s pricing page for the current shape.

Good fit: you want first-party access and your coding volume fits comfortably inside a tier’s allowance.

Kimi K2.7 and K2.6 are available per-token from Moonshot’s open platform and from several aggregators. No tiers, no resets — you pay for exactly the tokens you burn, which is ideal while you’re evaluating the model or your usage is light.

The catch is structural, not Kimi-specific: coding agents re-send their whole context on every tool call, so token volume compounds with every iteration. A model as eager to work as K2.7 will happily churn through long agent sessions — great for output, open-ended for the invoice. Per-token Kimi is cheap per request and unpredictable per month.

Good fit: a few million tokens a month, spiky schedules, or benchmarking before committing.

The third shape is the one we sell, so apply the usual discount for self-interest — but the mechanics are easy to verify. You reserve one or more daily 8-hour time blocks and get unlimited Kimi usage during them: no token allowances, no resets, a monthly number that’s fixed the day you subscribe. Capacity is shaped by per-key concurrency instead of token budgets, so an agent that loops all afternoon changes nothing on the bill.

Three properties matter for coding specifically:

  1. Both Kimis under one fee. A Frontier Pool block covers Kimi K2.7 and K2.6 (model ids kimi-k2.7, kimi-k2.6), switchable per request — use K2.7 for the hard problems and K2.6 where it’s already enough.
  2. It runs inside Claude Code natively. The API speaks both the Anthropic and OpenAI formats, so Kimi drops into Claude Code, Cline, Roo Code, or whatever tool you already use — no wrapper, just a base-URL change.
  3. The subscription isn’t Kimi-only. The same block also covers GLM 5.2 and MiniMax M3 (1M context). If Kimi is your main model but not your only one, that’s four coding plans for the price of one.

Current block pricing is on the pools page.

Good fit: Kimi is your daily driver, your working hours are roughly predictable, and you want the bill to be a constant instead of a variable.

Official Moonshot plan — first-party access, day-one model updates, your volume fits the quota. Per-token — light, spiky, or exploratory usage; pay only for what you burn. Time-block unlimited — heavy daily coding or agent work in predictable hours; fixed cost, both K2 generations plus two more frontier models under one fee.

All three routes serve the same open-weights models. The question isn’t “which Kimi is better” — it’s which cost shape matches how you work.


CheapestInference serves Kimi K2.7, Kimi K2.6, GLM 5.2, and MiniMax M3 (Frontier Pool) and DeepSeek V4 Flash and MiMo v2.5 (Core Pool) through one OpenAI- and Anthropic-compatible API on unlimited time-block subscriptions. See the pools or get started.