Model
Kimi K3 (2.8T parameters, 1M context)
Fast access (US)US Controlled · 0/100Kimi K3 (2.8T parameters, 1M context): OpenAI-compatible API, fast access via a US provider, per-token pricing.
€0.4536
Input — per 100k tokens
€2.268
Output — per 100k tokens
€0.0454
Cached input — per 100k tokens
About this model
Kimi K3 is Moonshot AI's open-weight, natively multimodal agentic model, which the company calls "our most capable model to date". It is a Mixture-of-Experts model with 2.8T total parameters and 104B activated per token, built on Kimi Delta Attention, with a 1,048,576-token context window; it understands text, images and video and replies in text. Thinking is always on, with low, high or max effort. Moonshot AI designed it for long-horizon coding, knowledge work and reasoning, and reports 93.5 on GPQA Diamond and 88.3 on Terminal-Bench 2.1 at max effort. The weights are released under the Kimi K3 License, an MIT-style license that adds conditions above set revenue and user thresholds.
Sources, checked on 23 September 2026: huggingface.co/moonshotai/Kimi-K3 ↗ · Kimi K3 License ↗
Specifications
- API model id
- kimi-k3
- Availability
- Live
- Hosting jurisdiction
- Fast access (US)
- Served via
- Modal
- Publisher
- Moonshot AI
- Parameters
- 2.8T (104B active)
- Licence
- Kimi K3 License
- Context window
- 1M
Reasoning model. First call after a quiet period can take a few minutes to warm up — then it responds in seconds.
Open weights & AI Act facts
Factual characteristics of this model's weights — stated, not certified. Under the EU AI Act, whether a deployment is compliant depends on the model, your role and your use case.
- Open weights
- Weights public — use governed by the licence above
- AI Act class
- GPAI — general-purpose AI
- Systemic risk
- Not assessed by us — training compute not published, or too close to the 10²⁵ FLOP threshold to call
- Data retention
- None at Frontière AI; provider-side retention follows Modal's own policy (not verified by us)
Frontière Verified
Our 6-criteria checklist for this model. Each criterion is assessed independently — a checkmark means we ran, recorded and passed the check; an empty circle means not confirmed yet.
Compliance evidence
Provider facts for this model's serving path, as documented by Frontière AI; the retention row quotes each provider's own documentation where it exists. Dates reflect the most recent documented audit of each fact.
Last verified: 2026-09-11
- Provider / operator
- Modal (US company)
- Country
- United States
- Ownership / control
- US-controlled — CLOUD Act applies even in EU regions
- Jurisdiction
- US (default serving region observed outside the EU)
- Deployment
- Managed serverless (third party)
- Data retention
- None at Frontière AI; provider-side retention follows Modal's own policy (not verified by us)
- Fallback route
- OpenRouter (US company, New York) — None at Frontière AI; provider-side retention follows the policy of whichever provider OpenRouter picks (not verified by us)
Frontière AI retains neither prompts nor completions from API calls; processing is structured to fit a short DPA (Art. 28 GDPR). DPA and subprocessor documentation available on request.
What its label means
This model is served through infrastructure controlled by a US company, which remains subject to the US CLOUD Act even when it runs in an EU region. We label it “fast access”, never sovereign, and it is flagged in the API response before you call it — so the choice is yours, made with full information. If Modal fails (429, 5xx or unreachable), the call automatically falls back to OpenRouter, which then picks the final provider from its own pool — a pool we do not control. The X-Routed-Provider header on every response names the route used.
How we draw the line: GDPR vs. the CLOUD Act →Sovereignty Score — 0/100
Deterministic 0–100 score computed from the five factors below — ownership, hosting jurisdiction, cloud-provider control, data retention, deployment control. Full methodology: How Frontière AI determines sovereignty →
- Operating-company ownership
- 0/40
- Hosting jurisdiction (observed)
- 0/30
- Cloud-provider control
- 0/15
- Data retention
- 0/10
- Deployment control
- 0/5
Effective provider assessed: modal.
Calling it
The API is OpenAI-compatible. Change base_url and the key, then use this model id:
client = OpenAI(
base_url="https://getfrontiereai.eu/api/v1",
api_key=os.environ["FRONTIERE_KEY"],
)
reply = client.chat.completions.create(
model="kimi-k3",
messages=[{"role": "user", "content": "Bonjour"}],
)One key covers the whole catalog — you switch models by changing a single string.
API reference →Pricing
The price you see is the price debited from your prepaid balance, margin and VAT included — not an infrastructure cost. No subscription: top up from €10; calls are refused once the balance reaches zero, and a call already running can take it slightly below — deducted from your next top-up.
What will it cost you?
Pick a workload or type your own token counts: the estimate uses the prices above, margin and VAT included.
Example workload
Roughly 1,000 tokens ≈ 750 English words.
Per request
€0.0147
Per day
€14.74
Per month
€442.26
30 days
A €10 top-up covers about 678 requests · Kimi K3
Where the money goes
- Input€204.12 · 46%
- Output€238.14 · 54%
Estimate, margin and VAT included, from the prices on this page. You are billed on the tokens the provider reports for each call, debited from a prepaid balance — no subscription.
FAQ
Is Kimi K3 (2.8T parameters, 1M context) GDPR-compliant on Frontière AI?
This model is labeled “fast access”, not sovereign: it is served through Modal, controlled by a US company and therefore subject to the CLOUD Act even in an EU region. For regulated workloads, pick a model from the sovereign tier. In either case, Frontière AI stores neither the prompts nor the completions from API calls. If Modal is unavailable, the call falls back to OpenRouter, which picks the final provider from its own pool.
How much does Kimi K3 (2.8T parameters, 1M context) cost?
€0.4536 per 100,000 input tokens and €2.268 per 100,000 output tokens — margin and VAT included, that is the amount debited from your prepaid balance. No subscription: you top up from €10; calls are refused once the balance reaches zero, and a call already running can take it slightly below — deducted from your next top-up.
How do I call Kimi K3 (2.8T parameters, 1M context) from my code?
The API is OpenAI-compatible: point base_url at https://getfrontiereai.eu/api/v1, swap the key, and pass “kimi-k3” as the model field. Your SDK, scripts and tools keep working, streaming included.
Under which licence is Kimi K3 (2.8T parameters, 1M context) released?
Kimi K3 License — this is not a permissive Apache- or MIT-style licence. Worth flagging if you run a legal review of licences before deployment.
Is there any behaviour I should know about?
Reasoning model. First call after a quiet period can take a few minutes to warm up — then it responds in seconds.
Articles about this model
Other models in the catalog
Call it in minutes
Create an account, top up €10, change two lines.