The frontier model alternative.

The same AI capabilities your systems use today delivered at a fraction of the cost and integrated with a single line of code.

Trusted by industry leaders and developers worldwide
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50% Lower Cost

The same intelligence tier at roughly half the cost, so the savings show up directly in your bill.

Pricing Calcualtor

3x Speed

Over 3× the throughput at the same intelligence tier, because our models and the hardware they run on are tuned as one system.

Benchmark Report

1 line to switch

One line of code moves you over, because the API is OpenAI-compatible whether you're coming from OpenAI, Anthropic, or anyone else.

Migration Guide

Models built for real production workloads, on infrastructure we own.

Maximum
Capability

Designed for complex reasoning, agent workflows, and software tasks.

Input
$2.25 / MTok
Output
$11.50 / MTok

Comparable to Opus 4.7
and GPT-5.5

Balanced
Performance

Strong performance with the best balance of speed and cost.

Input
$1.50 / MTok
Output
$7.00 / MTok

Comparable to Sonnet 4.6
and GPT-5.4

High-Efficiency
Scale

Ultra-efficient inference for high-throughput applications, early development, and lightweight agents.

Input
$0.50 / MTok
Output
$2.25 / MTok

Comparable to Anthropic Haiku 4.5
and GPT-5.4 Mini

It takes one line of code to cut your AI  cost in half

Research partners

The cost floor when you own the whole stack.

Monthly token volume:  
320M Tokens
Model tier
320m
1M
167M
334M
500M
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
Case STudies

Square’s R&D team used Radium to prototype early (pre-Gen AI) text-to-video and text-to-speech applications.

EQTY Lab used Radium to train a state-of-the-art climate model that was presented at COP28, the United Nations climate change conference.

Realbotix uses Radium to power low-latency, real-time AI interactions on its humanoid robotics platform. Radium enables responsive inference at the speed required for live human–AI interaction.

A leader in generative AI for law, Alexi used Radium to train domain-specific retrieval models. Alexi’s advanced AI platform generates legal memos, arguments, and answers to general litigation queries.

The economics of enterprise AI

Understanding
the hidden
costs of AI

Discover Tokenomics
A glance behind the curtain of ai

Switching
from OpenAI
or Anthropic

Compare Radium
A Radium Switching Guide
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Get Started

Run production AI on infrastructure we own

Same intelligence tier, lower cost floor, and one line of code to switch from whatever you're running now.

Run production AI on infrastructure we own

Radium is built for AI running inside real commercial applications, where performance, cost, and reliability matter.

Model Intelligence Capability

Highest level
reasoning

Highest level
reasoning

Highest level
reasoning

Privacy
Yes
No
No
API Architecture
OpenAI / Claude compatible
Claude
OpenAI
Endpoint Migration
Single endpoint change
N/A
N/A
Cloud
Radium
AWS / GCP
MS Azure
Security / Compliance
Yes
Yes
Yes
Inference Optimization
Yes
No
No
Get Started

One line of code to switch.
A different class of performance.

Swap OpenAI for Radium in your API call. That's it.

Generative AI has

become expensive, fragile,

and hard to operate.

Radium brings cost,

performance, and risk

under control.

Radium is built for AI running inside real commercial applications,
where performance, cost, and reliability matter.

Resources

Resources for teams evaluating, integrating, and operating Radium

View All Resources

Get started with Radium