FOR AI ENGINEERS
Replay production data across multiple LLMs
Directly compare cost, quality, latency, and reasoning before switching models—no guesswork required
We'll email you when this ships. No spam.
WHAT IT DOES
See every impact before migrating
Replay production traffic on any LLM
Test your real data across GPT-4.1, Claude, Gemini, Llama, DeepSeek, and more
Compare cost, quality, and latency
Review side-by-side metrics before committing to a switch
Surface hallucinations and tool call failures
Spot differences in hallucination rates, refusals, and tool call behavior instantly
No more manual guesswork
Replace ad-hoc testing with automated, data-driven insights
BUILT FOR
Made for AI engineers
AI engineers
Directly compare LLM performance on your real data
ML platform teams
Eliminate uncertainty when evaluating new foundation models
LLM ops engineers
Diagnose cost, quality, and hallucinations before deployment
THE OLD WAY
Before Model Switch Simulator
- Manually re-running production data through new LLMs, one prompt at a time
- Guessing at cost and latency impacts with spreadsheets and rough estimates
- Missing hallucination spikes or tool call failures until after migration
- Wasting engineering hours on inconsistent, ad-hoc model evaluation
Model Switch Simulator replaces all of this.
QUESTIONS
Common questions
What problem does Model Switch Simulator solve?
Switching between LLM providers is a gamble—unexpected costs, degraded quality, or increased hallucinations often surface only after deployment. AI engineers lack a reliable way to predict how production traffic will behave on a new model.
Who is Model Switch Simulator for?
Model Switch Simulator is built for AI engineers, including ML platform teams and LLM ops engineers.
GET EARLY ACCESS
See your models side by side
We'll email you when this ships. No spam.