Model comparison
wav2vec2-large-xlsr-53-hungarian vs o3
Capability radar, value bars, and side-by-side posture.
wav2vec2-large-xlsr-53-hungarian
Not scored
value score
o3
93
value score
wav2vec2-large-xlsr-53-hungarian ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | wav2vec2-large-xlsr-53-hungarian | o3 |
|---|---|---|
| Developer | jonatasgrosman | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |