Arabic Arena

A speech-to-text leaderboard scored on many test sets at once: MSA, Gulf, Egyptian, Levantine, Maghrebi, code-switching, noisy speech, and simulated 8 kHz telephone and call-center channels. One test set can mislead; the average of many is harder to game. Lower is better.

Open open weights API closed API Gated gated weights (on the Hub, access on request) † in-domain

Click a column to sort; the best value in each column is highlighted. Small grey numbers are 95 % bootstrap intervals (WER) and, under the rank, the rank range. Values in parentheses are the number of sets finished so far. Closed APIs and fine-tunes with gated weights are unranked references, scored on the re-hosted sets only. † marks models trained on the train split of one of the benchmark corpora, so their score there is not zero-shot (hover for details). Halluc. % is the share of noise-only clips for which the model wrote any words; it is not part of the Arena score.

Per-set results

Charts

Arena WER

Lower is better.

Accuracy vs speed

RTFx on one RTX 5070 Ti (log scale). Down and to the right is better.

Phone-channel robustness

WER on the same source sets: clean audio, then the telephony channel, then the call-center condition.

CleanTelephonyCall-center

Where models break

0%

Hallucination on noise-only audio

Share of 300 clips with no target speech (line silence, hold hiss, mains hum, distant babble, office, street and transport noise; half sent through a phone codec) for which the model still wrote words. Lower is better. Not part of the Arena score.

How scores are computed