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Tencent HunyuanSpecialist modelOpen weights

Hy-SimulMT-30B-A3B

Summary

Hy-SimulMT continuously translates spoken conversation between Chinese and English. Tencent reports scores for FLEURS, CoVoST2, ACL6060, and RealSI-Sentence, plus a long-form evaluation on RealSI. The publisher reports about three seconds of StreamLAAL. This measures streaming translation lag, not time to first audio.

The released model variant outputs translated text. Spoken output and voice cloning require an additional configured TTS service. The Interleave variant remains a configuration of the model. The chart qualitatively compares results with many systems but gives no exact numerical value.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 6 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

FLEURS translation score (Show measurement, test conditions, and source)
Source value
90.3
Score
90.3
Metric
Publisher score (metric definition and scale not stated)
Unit
points
Benchmark version
Official model-card comparison table, 2026 release
Category
simultaneous-speech-translation
Direction
Higher is better
Source type
vendor-reported
Evaluator
Tencent Hy-SimulMT model card, short-form results table
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Hy-SimulMT row; bidirectional Chinese-English simultaneous speech translation; publisher says higher scores are better. The table does not name the score formula or scoring scale.
Context
The publisher does not define the score formula or scale in the table; do not interpret these as BLEU or percentage values.
Source Tencent Hy-SimulMT model card, short-form results table
CoVoST2 translation score (Show measurement, test conditions, and source)
Source value
75.5
Score
75.5
Metric
Publisher score (metric definition and scale not stated)
Unit
points
Benchmark version
Official model-card comparison table, 2026 release
Category
simultaneous-speech-translation
Direction
Higher is better
Source type
vendor-reported
Evaluator
Tencent Hy-SimulMT model card, short-form results table
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Hy-SimulMT row; bidirectional Chinese-English simultaneous speech translation; publisher says higher scores are better. The table does not name the score formula or scoring scale.
Context
The publisher does not define the score formula or scale in the table; do not interpret these as BLEU or percentage values.
Source Tencent Hy-SimulMT model card, short-form results table
ACL6060 translation score (Show measurement, test conditions, and source)
Source value
81.2
Score
81.2
Metric
Publisher score (metric definition and scale not stated)
Unit
points
Benchmark version
Official model-card comparison table, 2026 release
Category
simultaneous-speech-translation
Direction
Higher is better
Source type
vendor-reported
Evaluator
Tencent Hy-SimulMT model card, short-form results table
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Hy-SimulMT row; bidirectional Chinese-English simultaneous speech translation; publisher says higher scores are better. The table does not name the score formula or scoring scale.
Context
The publisher does not define the score formula or scale in the table; do not interpret these as BLEU or percentage values.
Source Tencent Hy-SimulMT model card, short-form results table
RealSI-Sentence translation score (Show measurement, test conditions, and source)
Source value
84.7
Score
84.7
Metric
Publisher score (metric definition and scale not stated)
Unit
points
Benchmark version
Official model-card comparison table, 2026 release
Category
simultaneous-speech-translation
Direction
Higher is better
Source type
vendor-reported
Evaluator
Tencent Hy-SimulMT model card, short-form results table
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Hy-SimulMT row; bidirectional Chinese-English simultaneous speech translation; publisher says higher scores are better. The table does not name the score formula or scoring scale.
Context
The publisher does not define the score formula or scale in the table; do not interpret these as BLEU or percentage values.
Source Tencent Hy-SimulMT model card, short-form results table
RealSI long-form StreamLAAL (Show measurement, test conditions, and source)
Source value
3
Score
3
Metric
StreamLAAL streaming translation lag
Unit
seconds
Benchmark version
RealSI long-form audio evaluation, 2026 model-card release
Category
simultaneous-speech-translation-latency
Direction
Lower is better
Source type
vendor-reported
Evaluator
Tencent Hy-SimulMT model card, RealSI long-form evaluation chart and text
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Long-form Chinese-English translation on RealSI. The model card reports about 3 seconds; lower streaming lag is better.
Context
StreamLAAL measures streaming translation lag, not time to first speech output. The card does not publish a more precise value.
Source Tencent Hy-SimulMT model card, RealSI long-form evaluation chart and text
Matched interpreter study StreamLAAL (Show measurement, test conditions, and source)
Source value
3.3
Score
3.3
Metric
StreamLAAL streaming translation lag
Unit
seconds
Benchmark version
Matched human-interpreter comparison, 18 recordings
Category
simultaneous-speech-translation-latency
Direction
Lower is better
Sample
18
Source type
vendor-reported
Evaluator
Tencent matched-interpreter chart embedded in the Hy-SimulMT model card
Status
active
Retrieved at
2026-10-29
Methodology
Vendor-reported result. Hy-SimulMT result in Tencent's comparison with six professional interpreters on 18 recordings of about six minutes each; the figure shows 3.3 seconds StreamLAAL. CATTI Level 1 and Level 2 values use the best score among three interpreters at each level.
Context
This small study applies to these 18 recordings, the participating interpreters, and the stated setup. StreamLAAL measures lag, not time to first speech.
Source Tencent matched-interpreter chart embedded in the Hy-SimulMT model card

All specifications

Architecture

Model type
Open-weights model; Apache-2.0 license
Source: Model type

Input and output

Languages
Bidirectional simultaneous translation between Chinese and English
Source: Languages
Input
Continuously arriving audio
Source: Input
Translation directions
Chinese to English; English to Chinese
Source: Translation directions

Licence and access

Release
Released on October 26, 2026
Source: Release
License
Apache-2.0
Source: License
Release
Oct 26, 2026
Source: Release

Further details

Model output
Translated text. Spoken output and voice cloning require a configured external TTS service.
Source: Model output
Interleave variant
Returns source text and translation together; a configuration or variant, not a separate model profile
Source: Interleave variant
Speech rendering
External TTS service required (Translated text is the model output; speech rendering and voice cloning use an external configured TTS service.)
Source: Speech rendering
Interleave variant
Source text plus translation
Source: Interleave variant
GEMBA comparison
Relative comparison only (No exact plotted score published)
Source: GEMBA comparison

Sources and data date

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Research statusResearch date October 29, 2026. 59 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published

Exact GEMBA numeric score

Note

The RealSI chart shows points without exact numeric labels; prose provides only relative comparisons.

Not found in the inspected sources

Exact parameter counts

Note

The reviewed official model card and repository do not state total and active parameter counts separately. The model name alone is not treated as numeric evidence.

Not published

Short-form score formula

Note

The table says higher scores are better but does not name the metric or its scale.

Not found in the inspected sources

Vals rows in captured payloads

Note

Nine complete Vals payloads dated 28 October were checked; no exact model ID or unambiguous model label. Limited to these saved benchmarks.

Unresolved

Uncaptured Arena Code/Speech leaderboards

Note

Text, Agent including Code/Chat/Work, and twelve WebDev views were captured. A separate general Code and Arena Speech leaderboard were not saved as complete tables.

Unresolved

Artificial Analysis catalog reconciliation

Note

The full current AA model and benchmark catalog was not re-reconciled for this profile in this sidecar. This sidecar makes no AA absence claim; native AA imports remain authoritative.

Additional sourceTencent Hy-SimulMT model card and evaluation (retrieved October 29, 2026) · Tencent Hy-SimulMT model card and results · Editorial description reviewed October 29, 2026
Additional sourceTencent Hy-SimulMT inference and training repository (retrieved October 29, 2026) · Tencent Hy-SimulMT inference and training repository · Editorial description reviewed October 29, 2026
Additional sourceTencent matched interpreter StreamLAAL chart (retrieved October 29, 2026) · Tencent matched interpreter StreamLAAL chart · Editorial description reviewed October 29, 2026
Additional sourceModel metadata (retrieved October 29, 2026)12