Model comparison

Qwen3-ASR 0.6B vs Fun-ASR-MLT-Nano-2512

Two compact multilingual models with strong Chinese coverage. Qwen3-ASR 0.6B ranks higher in 5 of the matcher's seven common setups (with 2 tied), but the right choice still depends on the differences below.

Key differences

Side by side

Qwen3-ASR 0.6B side by side with Fun-ASR-MLT-Nano-2512
FactQwen3-ASR 0.6BFun-ASR-MLT-Nano-2512
Provider · sizeQwen · 0.6BFunAudioLLM · 800M
LicenseApache-2.0
Permissive
Apache-2.0
Permissive
Languages30 languages + 22 Chinese dialects31 listed languages
StreamingVia runtimeVia runtime
TimestampsSeparate alignerNot documented
Speaker diarizationSeparate pipelineSeparate pipeline
CPU · Apple · NVIDIA fit2/5 · 3/5 · 5/52/5 · 2/5 · 5/5
Live · long recordings4/5 · 4/53/5 · 4/5
Main runtimeqwen-asr packageFunASR

Which ranks higher in common setups

Scores from the same deterministic matcher as the homepage, applied to all 26 reviewed models (rank out of 26). They are decision guidance, not accuracy claims.

Qwen3-ASR 0.6B and Fun-ASR-MLT-Nano-2512 by setup
SetupQwen3-ASR 0.6BFun-ASR-MLT-Nano-2512Higher
Long recordings on an 8–12 GB NVIDIA GPU, balanced75/100 · #875/100 · #9Tie
Live captions or voice input (native streaming + timestamps, speed first)79/100 · #1073/100 · #15Qwen3-ASR 0.6B
Subtitles with timing, accuracy first80/100 · #768/100 · #15Qwen3-ASR 0.6B
Meetings with speaker labels (diarization + timestamps)77/100 · #872/100 · #14Qwen3-ASR 0.6B
CPU-only machine, low memory use58/100 · #1758/100 · #18Tie
Apple Silicon with 8–16 GB unified memory, long recordings66/100 · #1661/100 · #20Qwen3-ASR 0.6B
Japanese live transcription (native streaming, speed first)77/100 · #473/100 · #8Qwen3-ASR 0.6B

Language coverage

Both list 22 languages: Arabic, Cantonese, Czech, Danish, Dutch, English, Filipino, Finnish, Greek, Hindi, Hungarian, Indonesian and 10 more. Only Qwen3-ASR 0.6B lists French, German, Italian, Macedonian, Persian, Russian, Spanish and Turkish. Only Fun-ASR-MLT-Nano-2512 lists Bulgarian, Croatian, Estonian, Irish, Latvian, Lithuanian, Maltese, Slovak and Slovenian.

How to run each

Qwen3-ASR 0.6B
qwen-asr package, vLLM, Docker image qwenllm/qwen3-asr.pip install -U qwen-asr
Fun-ASR-MLT-Nano-2512
FunASR.python -m pip install -U "funasr>=1.4.1"

The model card's example sets the device to a CUDA GPU or the CPU; no memory figure is published.

Runtimes and figures from the official sources checked on November 2, 2026; details on each Qwen3-ASR 0.6B and Fun-ASR-MLT-Nano-2512 profile.

Common questions

Is Qwen3-ASR 0.6B better than Fun-ASR-MLT-Nano-2512?

It depends on the job. Qwen3-ASR 0.6B ranks higher in 5 of the matcher's seven common setups (with 2 tied), but the right choice still depends on the differences below. Benchmark both on your own audio before deciding.

Which is lighter to run, Qwen3-ASR 0.6B or Fun-ASR-MLT-Nano-2512?

They carry the same memory rating (3/5). See the official guidance quoted in the run section above.

Which supports more languages?

Fun-ASR-MLT-Nano-2512 lists 31 languages against 30. Only Qwen3-ASR 0.6B lists French, German, Italian, Macedonian, Persian, Russian, Spanish and Turkish. Only Fun-ASR-MLT-Nano-2512 lists Bulgarian, Croatian, Estonian, Irish, Latvian, Lithuanian, Maltese, Slovak and 1 more.

Go further

Generated from the reviewed model database (latest review November 3, 2026). Differences are taken from primary sources; matcher scores are Speech Model Match's editorial decision scores.