Benchmark Console

Build trust with measurable results.

Upload your model, pick a benchmark suite, and run standardized evaluations to compare performance consistently.

Use this for the hosted benchmark dashboard and submissions.
Status
Ready

1) Provide your model

Enter a name and optionally upload a model artifact. This page currently simulates a run; backend wiring can be added later.

2) Select benchmark suite

Choose which evaluation you want to run.

3) Run logs & results

Click Run benchmark to start.

Next integration step

Wire the run button to your backend API/websocket so model artifacts are submitted, the benchmark suite is executed, and metrics are streamed back into this log panel.

Benchmark suites you can run

Choose a suite that matches what you want to validate, then run it with your uploaded model.

Latency & Throughput
Fast time-to-answer
Measures end-to-end speed and throughput on standardized tasks.
Accuracy (QA)
Quality on evaluation sets
Scores responses against curated questions and rubrics.
Code Generation
Correctness and style
Evaluates coding outputs for compilation, correctness, and clarity.
Reasoning
Multi-step performance
Tests structured reasoning over multi-stage prompts.

How it works

A quick walkthrough of the benchmarking flow on this page.

1. Provide a model
Enter a model name and upload an artifact if you have one.
2. Choose a suite
Pick what you want to validate: speed, quality, code, or reasoning.
3. Run the benchmark
Start execution and watch logs + progress update in real time.
4. Review results
Inspect metrics, compare runs, and iterate on your model.
Tip: For meaningful comparisons, keep the same suite and evaluation spec across runs.

FAQ

Quick answers about submitting models and interpreting results.