Academic benchmarks are gameable
Models pass tests without reading them.
Test answers leak into training.
Change one number, accuracy drops 65%.
So why not run one yourself?
And stop writing evals forever
Benchmarks test:
You should test:
These only exist in production. A/B test to measure them.
Step 1: Connect your stack.
Yes. We integrate. Enter credentials, we've got the rest.
- Works with your stack
- OpenAI, Anthropic, AWS Bedrock, LangSmith, OpenRouter - if you use it, we support it.
- No setup required
- We pull data from where it lives. Your team does nothing.
Direct Provider
Gateways
Traces
Imports
Or call our gateway directly.
Step 2: Define a variant.
Or pick from our library.
Run different LLM configurations and see the impact instantly.
Define a Variant
Clone a configuration to get started quickly
Variant Library
Define model, provider, system prompt, parameters.
GitHub Copilot
GPT-5
base44
Claude 3.5 Sonnet
v0
Claude 3.7 Sonnet
Lovable
Claude 3.7 Sonnet
Step 3: Hit run.
Skip the evals.
A/B test the variant. The only true benchmark is your production data.
| Test Name | Price Impact | Quality Impact | Latency Impact | Recommendation |
|---|---|---|---|---|
System Prompt Optimization | ||||
GPT-4 vs Claude-3 | ||||
Max Tokens 1000 vs 2000 | ||||
Temperature 0.1 vs 0.7 | ||||
Prompt Engineering Test |
Finally, optimize
Visualize the cost-quality tradeoffs across different model variants. Find the sweet spot for your use case.
Cost vs Quality
GSM8K Accuracy
Ways to Optimize
Click to highlight different optimization strategies
Best output quality regardless of cost. Choose when quality is the top priority and budget is flexible.
Support for every modality
Text, audio, image, and video - we handle it all
Text
Build faster code agents by routing between GPT-4 for complex logic and Claude for quick refactors.
Audio
Reduce latency for real-time transcription. Route to Deepgram for speed, Whisper for accuracy.
Image
Get the best image output immediately. Test DALL-E, Midjourney, and Stable Diffusion in parallel.
Video
Compare all video providers side-by-side. Find which model delivers the quality you need, faster.
Text
Build faster code agents by routing between GPT-4 for complex logic and Claude for quick refactors.
Audio
Reduce latency for real-time transcription. Route to Deepgram for speed, Whisper for accuracy.
Image
Get the best image output immediately. Test DALL-E, Midjourney, and Stable Diffusion in parallel.
Video
Compare all video providers side-by-side. Find which model delivers the quality you need, faster.
Why not take this further and build a router?
v0 uses routing to stay fast.
Cursor needs it for reliability.
OpenAI built one for cost control.
The idea is simple.
IF simple query THEN fast model ELSE complex model.
Single Endpoint
BaselineWith Router
—Do you want to see the numbers first?
Narev has an open source observability tool for LLM and Cloud costs.