Inference supply

Frontier models,
served from our own fleet

Kimi K3.1 Pro, GLM-5.3, DeepSeek V4 and Qwen 3.8 on an OpenAI-compatible endpoint. Run on hardware we own and operate, with the price published in full.

Get an API key See pricing

1M context · 99.9% monthly availability target · zero retention by default · rate 1.00

# OpenAI-compatible. Change the base URL.
from openai import OpenAI

client = OpenAI(
  base_url="https://api.tokentoken.ai/v1",
  api_key="tt-...",
)

r = client.chat.completions.create(
  model="tt/kimi-k3.1-pro",
  messages=[{"role": "user", "content": "hi"}],
)

Anthropic Messages supported on the same key.

6 modelsFrontier open weights, live now
1M ctx1,048,576 tokens on five of six
99.9%Monthly availability target
3 regionsRouted to the nearest, or pinned

Models

Frontier open weights on our own hardware. Vendor APIs are being onboarded.

All models and prices →
ModelWeightsContextInput /MOutput /MStatus
tt/kimi-k3.1-proKimi K3.1 Pro1M$2.00$10.00Available
tt/glm-5.3GLM-5.31M$1.40$4.40Available
tt/deepseek-v4-proDeepSeek V4-Pro1M$1.32$3.96Available
tt/deepseek-v4.1-flashDeepSeek V4.1-Flash1M$0.30$1.20Available
tt/glm-5.3-flashGLM-5.3-Flash1M$0.15$0.50Available
tt/qwen3.8-27bQwen3.8-27B262K$0.50$3.00Available
claude-opus-5-5Anthropic API1M——Coming soon
gpt-6-astraOpenAI API———Coming soon
gemini-4-argonGoogle API———Coming soon

Prices at rate 1.00. For each set of open weights we charge what the weights author charges on their own API — no markup, and no undercutting we cannot yet justify. Vendor-API models will list at the vendor's published rate while we onboard them.

Price

Published in full, at rate 1.00

Full price list →

Output tokens, price per million

Frontier open weights sit an order of magnitude below frontier closed models. Inside that band we charge the weights author's own published rate — rate 1.00, no markup.

Closed-weight frontier, vendor API Open weights, served on GPUs we own
gpt-6-astraOpenAI
$50.00
claude-opus-5-5Anthropic
$20.00
gemini-4-argonGoogle
$10.00
tt/kimi-k3.1-proSelf-hosted
$10.00
tt/glm-5.3Self-hosted
$4.40
tt/deepseek-v4-proSelf-hosted
$3.96
tt/deepseek-v4.1-flashSelf-hosted
$1.20
$0$10$20$30$40$50
Table view and sources
ModelSourceInput /MOutput /M
tt/deepseek-v4.1-flashSelf-hosted — DeepSeek's published rate$0.30$1.20
tt/deepseek-v4-proSelf-hosted — DeepSeek's published rate$1.32$3.96
tt/glm-5.3Self-hosted — Z.ai's published rate$1.40$4.40
tt/kimi-k3.1-proSelf-hosted — Moonshot's published rate$2.00$10.00
gemini-4-argonGoogle published rate$2.00$10.00
claude-opus-5-5Anthropic published rate$4.00$20.00
gpt-6-astraOpenAI published rate$10.00$50.00

Closed-model rates are each vendor's published standard-tier price inside their short-context band. Our self-hosted prices are the published rate of the same weights' author, read 6–7 November 2026: Moonshot for Kimi K3.1 Pro, Z.ai for GLM-5.3, DeepSeek's peak-hour rate for V4-Pro and V4.1-Flash. DeepSeek also publishes an off-peak rate at half of that; we do not price by time of day.

Why us

Production-grade serving on capacity we own

One team owns the kernels, the scheduler, the fleet and the pager. That is what makes a route stay up under load. We charge the weights author's own published rate rather than a markup on someone else's quota — so what you are buying from us is the capacity, the reliability and the data handling, not a discount.

Where a request goes

One key, one endpoint. The gateway authorizes, reserves budget and routes; the fleet produces the tokens.

Your agent tt-… key Gateway authorize · reserve route · settle once no prompt stored Our fleet — self-hosted weights B300 · H200 · RTX 5090 · RTX 4090 own kernels · own scheduler · 24/7 ops Vendor API — coming soon Anthropic · OpenAI · Google · Z.ai · Moonshot labelled vendor_api in the response metered usage

Self-hosted routes are live. Vendor-API routes are being onboarded and are marked coming soon in the catalogue and in GET /v1/models.

Capacity we own

Our own GPUs, not resold quota. Reserved hardware is yours alone, and its idle time feeds the token pool.

Inference tuned by us

Kernels tuned per card, quantization, speculative decoding, continuous batching. Throughput per GPU is our own engineering.

Reliability is engineered

Every failure path is detect → remediate → verify, each held by a gate that injects the fault and asserts the fix fires.

One public multiplier

Every price is a base price times rate, now 1.00 — on this site, in the console and in the API. The number we bill.

Dedicated compute

When you want the whole machine

Configure and request a quote →

Most teams start on the API and pay per token. When your load is steady enough to keep a card busy, reserve one: B300 in stock, by the month, power and bandwidth included. We quote within one business day.

Memory per GPU

What fits without splitting the model across cards.

B300
288 GB
H200
141 GB
5090
32 GB
4090
24 GB

HBM3e on B300 and H200; GDDR7 and GDDR6X on the RTX cards. Bars are to scale.

B300288 GB · from $6.50/GPU·hr
H200141 GB · from $2.60/GPU·hr
RTX 509032 GB · from $0.75/GPU·hr
RTX 409024 GB · from $0.45/GPU·hr
Request a quote

or sales@cflabs.ai

Trust

Known supply. Nothing kept. Proof on request.

Data handling and compliance →

Zero retention by default

Prompts and outputs are not stored. Billing metadata is. Debug capture is opt-in per key and expires on its own.

Never used for training

No setting changes this and no discount is offered for allowing it.

Every route declares its source

Self-hosted, vendor API, cloud or licensed third party — in the API response, not only on this page. No account pools.

Attested inference Preview

Selected routes run in a hardware TEE and return an attestation your client verifies before the prompt leaves, plus a signed usage receipt.

Regional processing

Inference can be contracted to stay in North America, Southeast Asia or East Asia.

Credentials never logged

Authorization headers are dropped at the entry point, not redacted afterwards.

Documents on request

DPA with SCCs and UK Addendum, sub-processor list with 30 days' notice, security overview.