Model comparison
wav2vec2-large-xlsr-53-hungarian vs GPT-5
Capability radar, value bars, and side-by-side posture.
wav2vec2-large-xlsr-53-hungarian
Not scored
value score
GPT-5
94
value score
wav2vec2-large-xlsr-53-hungarian ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | wav2vec2-large-xlsr-53-hungarian | GPT-5 |
|---|---|---|
| Developer | jonatasgrosman | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | A Hungarian automatic speech recognition model fine-tuned by Jonatas Grosman from Meta's XLSR-53 multilingual wav2vec2 backbone on Common Voice 6.1 and CSS10 Hungarian data. It converts spoken Hungarian audio to text and reports 31.40% WER and 6.20% CER on the Common Voice Hungarian test set. | OpenAI frontier multimodal model. |