Kimi K2.7 Code Free (2026): 3 Zero-Cost Paths, Real Caps

The honest answer to “is Kimi K2.7 Code free” is that three of the paths people quote are real and one does not exist. There is no free hosted Kimi K2.7 Code API and no :free endpoint for it on OpenRouter. What is genuinely free is a rate-limited web chat, a small free tier of the Kimi Code CLI, and the Modified-MIT weights you can download and run on your own hardware. Everything past that costs tokens or GPU hours.

Kimi K2.7 Code Free: What You Can Do at $0 (and What You Can’t)

Kimi K2.7 Code is Moonshot AI’s open-weight coding model: a roughly 1T-parameter MoE with about 32B active per token, a 256K context, and a small MoonViT vision encoder bolted on. “Free” gets searched a lot around it, and most listicles answer by pasting a signup page or inventing an OpenRouter route. This one checks each path against a first-hand source and tells you where it caps.

The first three rows are the real zero-cost options. The API row is where the fabrication happens: people search “kimi k2.7 code free api,” land on a guide that points them at an OpenRouter :free route, and lose an afternoon. It is not there. OpenRouter does list a moonshotai/kimi-k2.6:free ID, but that is the older model, and even it shows no live provider.

If you already know you want a managed API and “free” was only a starting filter, skip to Alternatives. If you want to spend $0, keep reading. The paths are ordered below by how far they actually get you.

Decision Frame: Which Free Path Fits You

Pick before you read the details.

When each free path is the right call

• Use the kimi.com web chat if you want to try Kimi’s writing and reasoning in a browser, ask one-off questions, or do light coding by copy-paste. No install, no card. This is the fastest zero-cost path.
• Use the free Kimi Code CLI tier if you want to feel the agent drive real files and tools, not just chat. The Adagio tier gives you 6 agent runs a week, which is enough to judge whether the agent suits your workflow before you pay.
• Self-host the Modified-MIT weights if you have a multi-GPU box or a large-memory host, need offline or air-gapped inference, or your compliance team requires auditable open weights. Free of license fees; you pay in hardware and power.

When NOT to chase free

• You need a hosted Kimi K2.7 Code API for a backend and expect it at $0. That does not exist. The floor is the paid rate: $0.95/M input, $4.00/M output on ofox.
• You want to live in the coding agent all day. The free CLI tier is 6 agent uses a week. That is a trial, not a daily driver, and pretending otherwise wastes your quota by Tuesday.
• You have a single 24 GB or 48 GB GPU and expect to self-host. A ~1T MoE does not fit at usable quality; the INT4 weights alone are hundreds of gigabytes.

Stop rule

If you only need to evaluate whether Kimi K2.7 Code writes code you would ship, the free web chat answers that in ten minutes and you can stop reading. If you want to see it act as an agent, the free CLI tier answers it in six runs. Everything past those two is for people who need sustained programmatic or self-hosted access, where “free” has real trade-offs.

What You Need for Each Free Path

The three real free paths ask for very different things. Line them up before you start so you do not download 600 GB of weights and then find your host cannot hold them.

For the self-host path, the memory number is the hard gate. Kimi K2.7 Code is a ~1T-parameter MoE, so even native INT4 lands in the high-hundreds of gigabytes. A single consumer GPU is not in the running. If your hardware does not clear roughly 830 GB of total memory once you count the KV cache, the web chat, the free CLI tier, and a paid API are your routes, and there is no shame in that; almost nobody self-hosts a trillion-parameter model at home.

Path 1: Kimi Web Chat (Genuinely Free, Rate-Limited)

The Kimi web app at kimi.com lets you chat with a Kimi model without a credit card, and it can write code in the box. This is the least-friction zero-cost path: open the page, sign in, and type.

Two limits define it, plus one caveat that the SEO farms get wrong.

• No API. The web chat is a UI. You cannot point Cline, Claude Code, or your own script at it. The moment you need programmatic access, this path ends and you are into the CLI, self-hosting, or a paid API.
• Rate limits. The apps are free with general rate limits, and the exact quota is not published as a fixed number, so treat any specific figure you read elsewhere as unverified. Expect to hit a ceiling on heavy days.
• Model version is not guaranteed to be K2.7 Code. This is the caveat to be precise about. The kimi.com homepage has headlined K2.6 as the default chat model, and K2.7 Code is surfaced mainly through the separate Kimi Code product rather than the free chat box. Do not assume the free chat hands you K2.7 Code specifically. Look at the model label in your own session, because that is the only source that reflects your account and the current rollout.

The web chat has no memory of your codebase and no tool access. It answers what you paste in. That is fine for judging whether Kimi’s reasoning and code style suit you, and useless for anything that needs to read your files or run commands. If your question is “does this model write code I would ship,” the chat answers it. If your question is “can this model drive my agent loop,” the chat cannot even be wired to try. For that, you want Path 2.

Path 2: The Free Kimi Code CLI Tier (Real Agent, Small Quota)

This is the path most “free” roundups miss, because it is newer than the web chat and smaller than a full subscription. Moonshot ships an official Kimi Code CLI, and it has a free tier.

Install it from the official script:

curl -fsSL https://code.kimi.com/kimi-code/install.sh | bash

The free tier is called Adagio. It gives you 6 agent uses with 1 concurrent task, on a weekly-refreshed quota, running K2.7 Code (and the K2.7 Code HighSpeed variant). Unlike the web chat, this is a real agent: it reads files, runs tools, and drives multi-step edits. The paid tiers climb from Moderato at $19/mo to Vivace at $199/mo, so the free tier is deliberately a trial, not a workhorse.

The honest read on the free CLI tier: six agent runs is enough to point Kimi at a real refactor, a bug hunt, and a test-writing pass, and decide whether its agent behavior is worth paying for. It is not enough to adopt it as your daily coding agent. When you burn the six runs before the week resets, you are choosing between waiting, upgrading, or one of the other paths in this guide. Watch out for older blogs that describe this membership as running K2.5 at $19/mo; that pricing is stale, and the current tiers tie to K2.7 Code.

If your plan is to use Kimi inside a coding agent you already run rather than Moonshot’s own CLI, note that Moonshot exposes an Anthropic-compatible endpoint, so you can set ANTHROPIC_BASE_URL to https://api.moonshot.ai/anthropic and drive Kimi from Claude Code. That path is paid per token, not part of the free CLI tier, but it is the cleanest way to get Kimi into an existing agent setup. For the general shape of wiring an alternative model into an IDE agent, the Cline provider setup guide covers the same pattern.

Path 3: Self-Host the Open Weights (Free of License, Not of Hardware)

This is the path that makes Kimi K2.7 Code genuinely, permanently free of per-token cost. Moonshot published the weights under a Modified MIT license on Hugging Face under the moonshotai organization, in the Kimi-K2.7-Code repo. Modified MIT here means an attribution clause: very large operators are asked to display “Kimi” prominently in their product, while normal use carries no license cost. For a developer or a small team, it behaves like MIT.

What the license does not give you is free compute. Kimi K2.7 Code is a ~1T-total-parameter MoE with about 32B active per token, 61 layers, and 384 experts, plus a 400M MoonViT vision encoder. The model card recommends serving it with vLLM, SGLang, or KTransformers and ships native INT4 quantization, which is what makes self-hosting even thinkable. But the footprint is large.

Moonshot’s own model card publishes no VRAM or disk number, so the sizes above come from third-party self-host calculators and should be read as directional, not exact. The shape of the conclusion does not change: this is a multi-GPU or large-host workload. A single 24 GB or 48 GB GPU cannot hold even the INT4 weights, and there is no consumer config that runs a trillion-parameter MoE at usable speed.

Once you have it served, the payoff is an OpenAI-compatible endpoint you own, callable in the same shape as any hosted model:

from openai import OpenAI

# vLLM started with: vllm serve moonshotai/Kimi-K2.7-Code --quantization compressed-tensors
client = OpenAI(base_url="http://localhost:8000/v1", api_key="not-needed")
resp = client.chat.completions.create(
    model="moonshotai/Kimi-K2.7-Code",
    messages=[{"role": "user", "content": "Refactor this function to async."}],
)
print(resp.choices[0].message.content)

This path caps at the hardware bill. It is free of license fees and free of per-token cost, but the entry ticket is a large-memory, multi-GPU host, and the electricity is not free either. The math tends to favor a hosted endpoint until your volume is high: a self-host node that sits idle most of the day costs more in depreciation and power than a per-token API bill for most workloads. Self-hosting wins on volume, on offline requirements, and on compliance mandates for auditable weights, not on casual use. If you want to see whether the paid token math even favors Kimi, the Kimi K2.7 Code token-cut cost analysis runs the per-task numbers.

The Path That Does Not Exist: “Kimi K2.7 Code Free on OpenRouter”

This is the one to be blunt about, because it is the most-searched false lead.

There is no free Kimi K2.7 Code endpoint on OpenRouter. Checked against the OpenRouter models API on July 14, 2026:

• moonshotai/kimi-k2.7-code exists and it is a paid model at about $0.72/M input and $3.49/M output.
• OpenRouter lists a moonshotai/kimi-k2.6:free ID, but that is the older K2.6 model, not K2.7 Code, and like the K2.7 :free slug it shows an empty endpoints list with no live provider behind it. This is the specific trap: a reader sees “kimi” and “:free” on the same page and assumes the newest model is covered. It is not.
• A URL like openrouter.ai/moonshotai/kimi-k2.7-code:free returns an HTTP 200 because it loads the single-page app shell, not because a free route exists behind it. A page that renders is not an endpoint that works.

OpenRouter’s free tier is real, it just does not cover this model at this version. If you want a free model on OpenRouter for coding, you pick from its :free variants, which come with day and minute rate caps and no guarantee of which physical provider serves them. For a ranking of which free API tiers actually survive real coding work, see the free LLM API tiers ranked for coding guide.

One More Free-for-You Path: The Puter User-Pays Bridge

There is a real free-for-the-developer path worth naming: Puter exposes moonshotai/kimi-k2.7-code through its browser SDK on a “user-pays” model. The developer integrates the SDK and pays nothing; each end user covers their own token cost. It is free the way a BYO-bar is free to the host.

This is legitimate for a specific shape of app: a client-side tool where users bring their own usage and you do not want to front an aggregate bill. It is not a way to get free tokens for your own backend, and Puter’s “free” framing describes the developer’s cost, not the model’s. Do not read the marketing word “unlimited” as a documented limit in either direction; there is no published rate cap, which is not the same as no cap. Read the platform’s billing and data terms before you ship, because it also puts a third party between your users and the model.

Every Free Path to Its Limit: A Side-by-Side

flowchart TD
  A[Need Kimi K2.7 Code at $0?] --> B{How do you want to use it?}
  B -->|Chat in a browser| C[kimi.com web chat]
  B -->|Drive an agent for a few tasks| D[Kimi Code CLI Adagio]
  B -->|Run on my own hardware| E[Modified-MIT weights]
  B -->|Ship in an app| F[Puter user-pays]
  B -->|Call as a backend API| G[No free hosted API]
  C --> C1[Cap: no API, rate-limited, version not guaranteed K2.7]
  D --> D1[Cap: 6 agent uses/week, 1 concurrent]
  E --> E1[Cap: ~577GB+ INT4, multi-GPU host]
  F --> F1[Cap: end users pay tokens, no SLA]
  G --> G1[Floor is paid: $0.95/M in, $4.00/M out]
  G1 --> H[Managed: moonshotai/kimi-k2.7-code on one endpoint]

Common Errors When Chasing Free Kimi K2.7 Code

Free Kimi K2.7 Code for a Team: Where $0 Stops Scaling

The free paths are built for one person. They break the moment a team shares them, and it is worth knowing how before you plan around them.

The web chat has no shared-account model. Each developer opens their own session and hits their own rate limit, with no pooled quota and no usage dashboard. The free CLI tier is worse for teams: 6 agent uses a week is a single person’s trial, and there is no way to pool it across engineers. Two people evaluating is fine. A ten-person team trying to standardize on the free tiers is not a plan, it is ten separate best-effort trials that all run dry mid-week.

Self-hosting is the path that scales for a team, but it stops being free the instant you provision the hardware. One large-memory host serving INT4 weights can drive a few concurrent agent sessions; a team means real GPUs, real power, and someone to keep vLLM healthy. At that point you are comparing the amortized cost of a GPU host against a per-token API bill, and for most teams the API wins until volume is very high.

The honest read for a team: use the free paths to evaluate, then standardize on a paid endpoint with per-key usage visibility. A shared config there is one base URL and one model ID, and everyone bills against the same org wallet with traceable usage, which no free tier here offers.

Alternatives: When the Free Paths Cap Out

Free is a starting filter, not a finish line. Once the web chat’s rate limit, the CLI’s six-run quota, or the self-host hardware bill bites, the practical question becomes “cheapest reliable API,” and there is no honest $0 answer for a frontier model. Here is the ranked list, ofox first, then the others, with real numbers.

When the free paths run out and you want Kimi K2.7 Code as a managed API without the Moonshot signup or a self-host cluster, ofox serves moonshotai/kimi-k2.7-code at $0.95/M input and $4.00/M output on one OpenAI-compatible endpoint. Same OpenAI SDK shape as the self-host smoke test above, just a different base URL and one key that also reaches the other models in the ofox catalog:

from openai import OpenAI

client = OpenAI(base_url="https://api.ofox.ai/v1", api_key="YOUR_OFOX_KEY")
resp = client.chat.completions.create(
    model="moonshotai/kimi-k2.7-code",   # 256K context; swap to -highspeed for the faster variant
    messages=[{"role": "user", "content": "Refactor this function to async."}],
)
print(resp.choices[0].message.content)

That is not free, and no gateway claiming a frontier model at $0 per token is telling the truth. The honest trade is free chat for evaluation, the free CLI tier for a taste of the agent, self-host if you have the hardware, and a paid managed endpoint when you need an API that just works. If you are deciding between Kimi versions before you commit, the Kimi K2.6 release guide and the K2.7 Code cost breakdown cover what changed and what it costs.

Sources Checked for This Refresh

• Hugging Face model repo: https://huggingface.co/moonshotai/Kimi-K2.7-Code
• Kimi Code CLI page: https://www.kimi.com/code
• Kimi K2.7 Code pricing tiers: https://www.kimi.com/resources/kimi-k2-7-code-pricing
• Moonshot OpenAI/Anthropic API migration docs: https://platform.moonshot.ai/docs/guide/migrating-from-openai-to-kimi
• OpenRouter Kimi K2.7 Code model page: https://openrouter.ai/moonshotai/kimi-k2.7-code
• ofox managed Kimi K2.7 Code model page: https://ofox.ai/models/moonshotai/kimi-k2.7-code

The pattern with every “is it free” question about a frontier model is the same: a demo, a trial, or the weights are free, the sustained compute never is. Kimi K2.7 Code is a clean case, with Modified-MIT weights you can genuinely download, a free browser chat to try it, a six-run agent tier to feel it drive, and a hard floor of paid tokens or serious hardware the moment you need it at scale. Anyone offering the API side at zero cost is either shifting the bill to your users or making it up.