Tokenomics
Pricing designed for production workloads
What’s inside
What’s hidden inside the token?
AI platforms charge for tokens because tokens roughly represent computation. It bundles model usage with cloud overhead, infrastructure margins, and licensing costs. Radium strips the token down to what actually matters, so you pay for intelligence, not inefficiency.
Switching from OpenAI or Anthropic.
Compare
Token Comparison
Tokens look simple, but inside them lives a stack of cloud costs, infrastructure margins, and licensing layers.
Understanding Tokens
Most infrastructure leaves
GPU capacity unused
Traditional inference systems often underutilize GPU capacity due to fragmented routing, idle cycles, and inefficient execution. This means fewer tokens are produced from the same hardware.
Rewriting the token
Radium has optimized
token througput on our GPUs
Radium optimizes routing, batching, and execution across the delivery stack. By keeping GPUs consistently utilized, Radium increases the amount of output produced from the same infrastructure.
Technology Page
A better cost floor for
production AI
Monthly token volume:
320M Tokens
Model tier
Anthropic opus 4.6
$3,200
/ month
OPENAI GPT-5.4
$3,200
/ month
Radium HAL 1.0
$1,600
/ month
Anthropic sonnet 4.6
$3,200
/ month
OPENAI GPT-5.4
$3,200
/ month
Radium Clarke 1.0
$1,600
/ month
Anthropic Haiku 4.5
$3,200
/ month
OPENAI GPT-5.4 Mini
$3,200
/ month
Radium Tycho 1.0
$1,600
/ month
Resources
Resources for teams evaluating, integrating, and operating Radium
View All Resources
Get Started
One line of code to switch.
A different class of performance.
Swap OpenAI for Radium in your API call. That's it.