Every evaluated model, every benchmark, one table.
No models evaluated on this generation yet.
The 7-2026 tiers are brand new — run
python script.py --model <your-model> --publish and
it lands straight in the review queue, no PR needed. Or view the
.
No text-to-image models evaluated yet.
No models evaluated on these benchmarks yet.
Run the universal script with --publish — it scores your model,
then submits the entry straight to the BenchLabs review queue. No PR, no
manual file upload.
1. Get the script
curl -O https://benchlabs.ereneksi.com/script.py
2. Run it against your model
python script.py --model your-org/your-model --publish
3. Authenticate
No browser on this machine? You'll get a short code to approve from any
browser (phone, laptop, wherever) — the same device-login flow as
gh auth login. To skip that, pass --hf-token <token>
(or set HF_TOKEN) to authenticate directly instead. Either way,
your Hugging Face credential only proves who you are — it's never used to
write anything.
4. Review & track
A Bench Labs moderator reviews the diff against the live board before it goes live. Track your submission, or submit via the browser instead of the CLI, at benchlabs.ereneksi.com/submit.
Notes
metrics.generative (exact_match · hybrid_score, alias-aware, per-item routing) and
metrics.loglikelihood (acc · acc_norm · soft_score · soft_score_norm).model_revision + script_sha256 pin exactly what was evaluated.t2i_models array in models.json — see
add_t2i_schema.py for the entry shape.