// How it works
Three steps from prompt to decision
Run tests for each LLM step in your product - single-step or multi-step workflows.
// What you get
Everything you need to decide with confidence
After each run you get real API data - not lab scores - so you can ship the cheapest model that still hits your quality bar.
Cost per inference
Exact USD cost for every model on your prompt, so you see the real bill before you switch.
Latency
Time-to-first-token and total response time side by side, so speed never becomes a surprise.
Tokens
Input and output token counts per model - enough to forecast spend at your production volume.
Output quality
Read the actual responses next to each other and pick the winner for your use case, not a generic bench.
// Which flow
Single-step or multi-step?
Pick the flow that matches how your product actually calls models.
One prompt, one decision
Best when you have a single LLM call - support replies, classification, extraction, generation - and need the cheapest model that still looks good.
- One production prompt
- Up to 20 models in parallel
- Pick a winner and ship
Chains and agent workflows
Best when quality depends on several steps - agents, RAG pipelines, multi-call workflows - and each step can use a different model.
- Chain winning outputs between steps
- Optimise cost per step
- Keep end-to-end quality intact
120+
engineers
36
models available
490+
API calls in dataset
Best AI Use
Contra/Bubble award
// 36 models available
Compare flagship models from all major providers
New models added within days of release. Neutral testing - no provider bias.
// FAQ