KimiK3.online
Summary
Most third-party API gateways bury your usage data, rotate your keys without warning, and leave you guessing which tokens burned your credits — KimiK3.online is an independent playground and OpenAI-compatible API gateway built to surface exactly that.
The service proxies requests to the official Moonshot Kimi K3 API server-side, so you get a 1M-token context window with selectable reasoning levels, streaming responses, and strict JSON output — without managing upstream credentials yourself. Managed developer keys, per-request usage history, and metered credit breakdowns (cached input, standard input, output tokens priced separately) are all visible from one dashboard. You prototype in the browser playground, then move a working request into your application through the same account and the same OpenAI-compatible interface. The ceiling appears when you need anything beyond chat completions: no autonomous multi-step agents, no tool-loop orchestration, no self-hosted option.
Bottom line: Reach for this when you need a ready-to-use 1M-context API with transparent metering and managed keys; look elsewhere when your workload requires agents that run tasks on their own or a deployment that never touches an external service.
Pricing Plans
Subscription- Free Tier
- 500 starter credits on sign-up; 50 credits on first login each UTC day
Monthly Starter
For focused personal projects and regular exploration. 10,000 monthly credits.
- Playground and API access
- Usage history and billing controls
Monthly Pro
For developers shipping with Kimi every week. 25,000 monthly credits.
- Playground and API access
- Usage history and billing controls
Monthly Max
For sustained, high-context production workloads. 75,000 monthly credits.
- Playground and API access
- Usage history and billing controls
View full pricing on kimik3.online →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- OpenAI-compatible request shape with streaming and JSON support, so existing client code ports over without rewriting the integration layer.
- 1M-token context window, which means large codebases or long research documents load in a single call instead of requiring a chunking and retrieval layer you have to maintain.
- Managed developer keys with create/revoke controls and per-environment separation, so a leaked key is revoked in seconds without touching upstream Moonshot credentials.
- Per-token-type credit metering (cached input, standard input, output tracked separately), which means a cost spike in usage history points to the exact token category instead of an unattributable total.
- Selectable reasoning levels (Low / High / Max) with the reasoning trace surfaced separately from the final answer, so you can tune inference cost against task complexity without flying blind.
Cons
Sign in to edit- No agent or tool-loop support: the service handles chat completions and does not expose multi-step autonomous task execution — teams building agents that run tasks on their own, decide what to call next, or loop until a condition is met must architect that logic entirely outside this gateway, which often means switching to a provider with native function-calling loops like OpenAI or Anthropic's API directly.
- No self-hosted or on-premises option: every request routes through KimiK3.online's proxy before reaching Moonshot's API, so teams with data-residency requirements or air-gap constraints cannot use this service at any usage tier — they switch to a self-deployable model runtime instead.
- The service is an independent third-party gateway, not Moonshot AI: account data, billing, support, and data handling are governed by Luluisland studio's terms, not Moonshot's — teams that require vendor-backed SLAs or direct contractual relationships with the model developer cannot satisfy that requirement here.
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About
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-07-26T08:31:00.975Z
Best For
Who it's for
- Developers handling 1M-token contexts
- Multimodal tasks combining text and images
- Production workloads needing streaming and JSON responses
- Users wanting managed keys and usage metering
What it does well
- Long-horizon coding across large repositories
- Visual reasoning over images and diagrams
- Research workflows with long documents and conversations
- Architecture reviews and migration planning
- Structured output and tool-connected applications
Discussion Community
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Frequently Asked Questions
- Is KimiK3.online free?
- KimiK3.online has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is KimiK3.online open source?
- No — KimiK3.online is a closed-source tool. Source code is not publicly available.
- Does KimiK3.online have an API?
- Yes. KimiK3.online exposes a developer API. See the official documentation at https://kimik3.online for details.
Hours Saved & ROI Stories Community
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KimiK3.online is an independent browser playground and OpenAI-compatible API gateway for Kimi K3, operated by Luluisland studio — not affiliated with Moonshot AI. The core workflow is a two-surface loop: you explore prompts and inspect the model’s reasoning trace in the browser playground, then move a working request into production through the same account using a standard completions endpoint. Reasoning level is selectable (Low / High / Max), responses stream in real time, and the interface accepts the same request shape as OpenAI’s API, so existing client libraries drop in without modification.
The differentiating layer is what the service wraps around the model. Rather than handing you a raw API key and a docs link, KimiK3.online manages credentials server-side — you create and revoke developer keys from a dashboard, keep environments separated, and never expose the upstream Moonshot key in your application. Metered credits break down by token type: cached input tokens, standard input tokens, and output tokens are each priced differently, which means the usage history actually tells you what drove a cost spike instead of reporting an opaque total.
This fits teams doing long-document research, large-codebase reviews, architecture migration planning, or visual reasoning tasks where the 1M-token context window eliminates the chunking logic you would otherwise write yourself. The service does not support autonomous agents that run tasks on their own, multi-step tool loops, or self-hosted deployment — requests always route through the vendor’s proxy to the Moonshot API. Teams that need air-gapped inference or true agent orchestration will hit that wall quickly and move to a self-hosted model runtime instead.
The API accepts streaming and strict JSON responses and exposes reasoning controls via a familiar request shape. New accounts receive 500 starter credits on Google sign-in, with daily replenishment credits available. Paid monthly subscriptions and one-time credit packs are available for higher-volume usage; usage history and billing controls are accessible from the same dashboard as key management.