Mongolian Speech-to-Text Leaderboard
Duudlaga FlowOursEndpoint: http://localhost:8080/transcribe

Duudlaga Flow — Mongolian Speech-to-Text Benchmark

Real results from the Duudlaga Flow Batch API (enhanced operating point, language mn-MN) evaluated across 4 Mongolian datasets and 265 audio samples. Every number below is measured — not marketing. WER, speed, and pricing are shown as-is, brutally honest.

Language:MN-MNSamples:265Run:Jul 15, 2026, 5:29 PMEndpoint:http://localhost:8080/transcribe
06710085.4%
Accuracy

265/265 samples transcribed · 100% success rate

06710014.6%
Word Error Rate

Lower is better · across 265 samples

Headline metrics
Character Error Rate7.6%
Avg speed factor1.47×realtime multiple
Total speed factor1.47×
Avg latency / sample5.2s
Total audio processed1849.3s30.8 min

Pricing

Duudlaga Flow list pricing for batch transcription. No discounts, no negotiated rates applied — the raw per-minute rate.

Per 1k minutes
$19.4
batch
Per minute
$0.0194
effective
Per 1k min (these 30.8 min)
$35.88
would cost
Open source?
proprietary

Pricing source: Duudlaga Flow public pricing. Duudlaga Flow is shown for context only — this page isolates Duudlaga Flow so the number is not padded by our own product.

WER & CER by dataset

Word and character error rates per dataset. Lower is better — and these are the real Duudlaga Flow numbers, which are weak on Common Voice 24.

Common Voice 24 (MN)
Source dataset →
WER
13.8%
CER
5.8%
Shunya Labs Mongolian Speech
Source dataset →
WER
8.3%
CER
4.1%
Common Voice 20 (MN)
Source dataset →
WER
16.6%
CER
9.1%
Modern Voice
WER
18.1%
CER
10.2%
WERCER

Dataset summary

Aggregate accuracy, speed, and timing for each dataset.

DatasetSourceSamplesSuccessWERCERAccuracySpeedAudio (s)Proc (s)
Common Voice 24 (MN)Hugging Face →5959/5913.8%5.8%86.2%1.26×ss
Shunya Labs Mongolian SpeechHugging Face →6060/608.3%4.1%91.7%1.8×ss
Common Voice 20 (MN)Hugging Face →5454/5416.6%9.1%83.4%1.33×ss
Modern Voice9292/9218.1%10.2%81.9%1.66×603.8s363.6s

WER vs speed — per sample

Each dot is one audio sample. The sweet spot is the bottom-left (low error, fast). Duudlaga Flow sits high on error for many Common Voice 24 samples.

Per-sample results

Ground truth shown verbatim in the Expected column. The result column highlights only the words Duudlaga Flow got wrong, in red — no strikethrough/swap gymnastics, just the mistakes.

265 rows
redwrong word in the resultplaincorrectly transcribedExpected column shown verbatim as ground truth
#AudioSampleDatasetExpected (ground truth)Duudlaga Flow resultWERCERI/D/S
1btsee-cv24-mn-0001Common Voice 24 (MN)Гэхдээ амьсгал хураахаасаа өмнө танд мэдэж байгаагаа хэлье.Гэхдээ амьсгал хураахаасаа өмнө танд мэдэж байгаагаа хэлье.0.0%0.0%0/0/0
2btsee-cv24-mn-0002Common Voice 24 (MN)Надад заяасан аз жаргал гэдэг ердөө гуравхан сарын хугацаатай байсан гэж үү?Надад заяасан аз жаргал гэдэг ердөө гуравхан сарын хугацаатай байсан гэж үү?0.0%0.0%0/0/0
3btsee-cv24-mn-0003Common Voice 24 (MN)Одоо бид өөрсдөө өвчин эмгэгээсээ салахыг хичээцгээе.Одоо бид өөрсдөө өвчин эмгэгээсээ салахыг хичээцгээе.0.0%0.0%0/0/0
4btsee-cv24-mn-0004Common Voice 24 (MN)Би бол голдуу хээрээр гэр, хэцээр дэр хийж явдаг хүн.Би бол голдуу хээрээр гэр хэцээр дэр хийж явдаг хүн.0.0%0.0%0/0/0
5btsee-cv24-mn-0005Common Voice 24 (MN)Хан хурмаст уурлаж, Болдоггүй Бор өвгөнийг хор луугаараа ниргүүлэхээр явуулжээ.Хаан Хормистуусын болтугай баруун хоёр дахь луугаар нэргүүлэхээр явжээ.100.0%41.6%0/1/9
6btsee-cv24-mn-0006Common Voice 24 (MN)Алив наашаа ороод ир гээд гэртээ оров.Алив, наашаа ороод ир гээд гэртээ оров.0.0%0.0%0/0/0
7btsee-cv24-mn-0007Common Voice 24 (MN)Өө өндөр дээдэс таны тухайд би баталж чадахгүй.өндөр дээдэс, таны тухайд би баталж чадахгүй.12.5%6.5%0/1/0
8btsee-cv24-mn-0008Common Voice 24 (MN)Харин гурав дахь удаагаас эхлэн хүмүүсийг сонирхож эхлэв.Харин гурав дахь удаагаасаа эхлэн хүмүүсийг сонирхож эхлэв.12.5%3.6%0/0/1
9btsee-cv24-mn-0009Common Voice 24 (MN)Та нар очингуутаа шөл л өгч үз.Та нар очингуутаа шүлэг өгч үз.28.6%10.0%0/1/1
10btsee-cv24-mn-0010Common Voice 24 (MN)Ерөөсөө литр үйлдвэрээсээ салаагүй явсан юм чинь.Ерөөсөө л үйлдвэрээсээ салаагүй явсан юм чинь.14.3%6.2%0/0/1
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Methodology

How these numbers were produced.

Provider: Duudlaga Flow (Google Cloud STT V2 + OpenAI tidy post-processing.).

Endpoint http://localhost:8080/transcribe. Language mn-MN. Punctuation stripped for WER.

Datasets: Common Voice 24 (MN), Shunya Labs Mongolian Speech, Common Voice 20 (MN), Modern Voice — 265 samples, 1849.3s of audio total.

Dataset source URLs:

Metrics: WER and CER are computed with a standard word/character Levenshtein alignment, normalized for case and punctuation. Accuracy = 100 − WER. Speed factor = audio duration ÷ processing time (× realtime). All requests are real Duudlaga Flow Batch API calls, not cached or simulated.

Diff highlighting: The result column aligns to the ground truth and colors every substitution and insertion red. Deletions (words missing from the result) are not shown in the result column — the Expected column already holds the full ground truth as-is.

Generated by the Duudlaga Flow Benchmark Runner · Duudlaga Flow Batch API v2 · run Jul 15, 2026, 5:29 PM