PARSA-Bench - ASR: leaderboard

Metric: Median word error rate times 100 on 500 Persian Common Voice and ParsVoice utterances (0 is a perfect transcript, no upper limit); zero-shot, temperature 0, refusals (no Persian script) excluded; proprietary models on 100 items; lower is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash40#237
2Gemma 3n E4B50#856
3Gemma 3n E2B64#1137
4Qwen2.5-Omni-7B100#601

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=parsa-bench-asr · How It Works · Data refreshed daily, snapshot 2026-10-11.