Backed by 
TokenlessThe router that cuts your inference bill in half.
A drop-in replacement for the OpenAI and Anthropic APIs — every call routed to the right model.
Measured, not marketed.
Cost versus quality on public coding benchmarks — the same quality as Opus 4.8, at a fraction of the cost per task.
| PRO | GPT 5.5 | Opus 4.8 | MAX | |
|---|---|---|---|---|
| TerminalBench 2.1 | ||||
| Solved | 72% | 76% | 72% | 82% |
| $ / task | $0.32 | $0.74 | $2.41 | $6.70 |
| vs Cheapest | -57% | — | — | — |
| LiveCodeBench | ||||
| Solved | 89.0% | 85.7% | 88.9% | 90.4% |
| total $ | $74.78 | $84.27 | $80.01 | $85.33 |
| vs Cheapest | -7% | — | — | — |
Need maximum quality instead of maximum savings? MAX routes each task to the best available model.
See what you’d save.
Every workload is different. Book a demo and we’ll run the numbers on your actual traffic.
Book a demoSame quality, half the cost — here’s the trick.
Most calls don’t need a frontier model. Tokenless classifies every request and routes it — fast, cheap models for the easy calls, frontier models for the hard ones. You pay frontier prices only where frontier quality actually matters. No quantization tricks, no quality roulette.
It’s a drop-in replacement for the OpenAI / Anthropic API. All you need to do is change two lines.
from openai import OpenAI
client = OpenAI(
base_url="https://api.usetokenless.com/v1",
api_key="<your-tokenless-key>",
)Built by AI researchers from Google DeepMind, Princeton, and UC Berkeley. Backed by Y Combinator.
Cut the bill. Keep the quality.
Book a demo and we’ll run the numbers on your actual traffic — or swap two lines and see for yourself.