The frontier model alternative for enterprise
The same AI capabilities your systems use today delivered at a fraction of the cost and integrated with a single line of code.
Models built for real production workloads
A focused set of performance tiers designed to balance capability, speed, and cost so teams can choose the right model for every workload.
Hal 1.0
Capability
Designed for complex
reasoning, agent workflows,
and software tasks.
Comparable to Opus 4.7
and GPT-5.5
Clarke 1.0
Performance
Strong performance with the best balance of speed and cost.
Comparable to Sonnet 4.6
and GPT-5.4
Tycho 1.0
scale
Ultra-efficient inference for high-throughput applications, early development, and lightweight agents.
Comparable to Opus 4.7
and GPT-5.5
It takes one line of code to cut your AI cost in half
Understanding
the hidden
costs of AI
Discover TokenomicsSwitching
from OpenAI
or Anthropic
Compare Radium
Highest level
reasoning
Highest level
reasoning
Highest level
reasoning
A better cost floor for
production AI
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.
Radium is used by teams shipping
AI into real-world systems
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.
Resources for teams evaluating, integrating, and operating Radium
Get started with Radium
One line of code to switch.
A different class of performance.
Swap OpenAI for Radium in your API call. That's it.