Benchmark run
2026 09 v5 full 1 6 897
Wispr Flow 1.6.897 external-product benchmark; Flow 1.6.897; multilingual (en, es, da, hu selected); Context Awareness off; clean dictionary; BlackHole 2ch
Sep 20, 2026
- Models
- 1
- Samples per dataset
- 950
- Warmup runs
- 3
- Hardware
- Apple M4 Max / 36 GB / macOS 26.6.2
Full results
Accuracy is the share of words transcribed correctly per language condition, so higher is better; speed is milliseconds per second of audio, so lower is better. The best value in each column is emphasised, and a cell reading a dash says on hover why there is no figure in it.
Accuracy (%) per language, and speed in ms per second of audio, so lower is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.
| Wispr Flow | 902 | No disk file: it is a cloud product. | Memory of a cloud product cannot be observed. | 101 ms | 91.8%Every word from every language counted together, not an average of per-language scores. | 94.7%Every word from every language counted together, not an average of per-language scores. | 90.1%Every word from every language counted together, not an average of per-language scores. | 95.8% | 93.3% | 93.8% | 77.9% | 95.8% |
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At a glance
Ratings computed from benchmark data, scaled 1 to 10, and written with their scale in every cell. Accuracy is based on Word Error Rate (WER) and does not include punctuation yet.
Ratings run 1 to 10, higher is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.
| Wispr Flow | The languages this row covers were never recorded. | Whether this row translates was never recorded. | 7/10 | 9/10Every word from every language counted together, not an average of per-language scores. |
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