Swtichgin Guide

Evaluate Radium against Anthropic and OpenAI

A practical path to evaluating Radium in production.

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What changes

The endpoint URL

API credentials

Delivery-layer economics

Governance surface

Cost structure, routing discipline, and governance controls operate within Radium’s infrastructure.

What stays the same

Your prompts

Your application logic

Your orchestration layer

Your token accounting

Your production workflows

Cost structure, routing discipline, and governance controls operate within Radium’s infrastructure.

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

Migration in Practice

Step 1

Create a Radium API key

Generate credentials in minutes.

Step 2

Swap the endpoint

Update the base URL in your existing integration.

Step 3

Route test traffic

Send a controlled portion of production or staging traffic to Radium.

Step 4

Compare outcomes

Measure cost per million tokens, latency, throughput, and operational visibility.

AI Platform Architecture Comparison
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

A better cost floor for
production AI

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

Take control of AI delivery.

faq
Is performance comparable?

Radium One is designed for general enterprise workloads such as copilots, summarization, and automation. Evaluation should be conducted against your specific use case.

Is this a full model replacement?

Radium abstracts the model layer behind a stable endpoint. For many enterprise workloads, capability is sufficient and cost efficiency becomes the differentiator.

Can we run multi-provider setups?

Yes. Radium is designed to reduce vendor lock-in and support routing strategies aligned with enterprise priorities.

Can we run multi-provider setups?

Radium One is designed for general enterprise workloads such as copilots, summarization, and automation. Evaluation should be conducted against your specific 
use case.

Can we run multi-provider setups?

Radium One is designed for general enterprise workloads such as copilots, summarization, and automation. Evaluation should be conducted against your specific 
use case.

Can we run multi-provider setups?

Radium One is designed for general enterprise workloads such as copilots, summarization, and automation. Evaluation should be conducted against your specific 
use case.

Can we run multi-provider setups?

Radium One is designed for general enterprise workloads such as copilots, summarization, and automation. Evaluation should be conducted against your specific 
use case.