The best AI models,
at half the price.
One API for Claude Opus 4.8 and GPT-5.5, billed at exactly 50% of list price. Prepay a balance, drop in your key, and ship. No subscriptions. No markup. No waiting.
- OpenAI-compatible
- Pay per token
- Cancel anytime
Two frontier models. One key.
The models teams actually ship on — with their full context windows and capabilities, at half the price.
Claude Opus 4.8
Anthropic
The most capable model for long-horizon agentic work.
- Input / M tokens
- $2.50$5.00
- Output / M tokens
- $12.50$25.00
Claude Opus 4.7
Anthropic
Prior-generation Opus, still frontier-class for hard problems.
- Input / M tokens
- $2.50$5.00
- Output / M tokens
- $12.50$25.00
Claude Opus 4.6
Anthropic
Battle-tested Opus for teams standardized on 4.6.
- Input / M tokens
- $2.50$5.00
- Output / M tokens
- $12.50$25.00
Claude Sonnet 4.6
Anthropic
The balanced workhorse: near-Opus quality at a fraction of the cost.
- Input / M tokens
- $1.50$3.00
- Output / M tokens
- $7.50$15.00
Claude Haiku 4.5
Anthropic
Fast and inexpensive for high-throughput, latency-sensitive tasks.
- Input / M tokens
- $0.50$1.00
- Output / M tokens
- $2.50$5.00
GPT-5.5
OpenAI
Flagship general intelligence with a massive context window.
- Input / M tokens
- $2.50$5.00
- Output / M tokens
- $15.00$30.00
GPT-5.4
OpenAI
Mid-tier GPT-5 with strong reasoning at half the flagship price.
- Input / M tokens
- $1.25$2.50
- Output / M tokens
- $7.50$15.00
GPT-5.3 Codex
OpenAI
Coding-specialized GPT-5.3 tuned for agentic software work.
- Input / M tokens
- $0.88$1.75
- Output / M tokens
- $7.00$14.00
Every token, half off.
No tiers, no minimums, no surprises. List price on the left, what you actually pay on the right — per million tokens.
Claude Opus 4.8
Claude Opus 4.7
Claude Opus 4.6
Claude Sonnet 4.6
Claude Haiku 4.5
GPT-5.5
GPT-5.4
GPT-5.3 Codex
Prices are USD per 1,000,000 tokens. Billing is metered to the token and drawn from your prepaid balance.
See what you'd save
Drag the sliders to your monthly volume. The savings are real money back in your budget — every single month.
Everything you need to ship
A production-grade API and dashboard, priced to win — without cutting corners on the things that build trust.
Frontier models, one endpoint
Claude Opus 4.8 and GPT-5.5 behind a single OpenAI-compatible API. Switch models with one string — no rewrites.
Exactly half price
Every token — input, output, and cache — is billed at 50% of list price. What you see is what you pay.
Pay only for what you use
Metered to the token. Prepay a balance, watch it draw down in real time, and never get a surprise invoice.
Drop-in API keys
Generate a key, point your existing OpenAI or Anthropic SDK at us, and ship. Streaming works out of the box.
Usage you can trust
Token-level analytics, per-key breakdowns, and live charts so finance and engineering always agree.
Auto-reload
Set a threshold and a top-up amount. We keep your balance healthy so production never stalls mid-request.
Secure by default
Keys are hashed at rest, every dashboard call is authenticated, and your data is never used for training.
Built to scale
A streaming gateway that holds long-lived connections and meters every token in and out, per user.
If you can call OpenAI, you can call us
Tokenless speaks the OpenAI Chat Completions protocol. Change the base URL and your key — keep everything else.
from openai import OpenAI
# Point the OpenAI SDK at Tokenless — that's the only change.
client = OpenAI(
base_url="https://api.tokenless.ai/api/v1",
api_key="sk-tk-...",
)
stream = client.chat.completions.create(
model="opus-4.8",
messages=[{"role": "user", "content": "Explain quantum computing"}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")Good questions, straight answers
We're an aggressor on price by design — backed to grow fast. You get the same frontier models at 50% of list, billed per token, with no subscription and no minimums.
Ship on frontier models for half the price.
Create an account, grab a key, and make your first call in under a minute. Your first $1 of usage is on us.