Model comparison

Whisper turbo vs Granite Speech 5.0 2B

The default open baseline against IBM's October 2026 Apache-2.0 model. Whisper turbo ranks higher in all seven of the matcher's common setups, but the right choice still depends on the differences below.

Key differences

Side by side

Whisper turbo side by side with Granite Speech 5.0 2B
FactWhisper turboGranite Speech 5.0 2B
Provider · sizeOpenAI · 809MIBM · 2B
LicenseMIT
Permissive
Apache-2.0
Permissive
Languages99+ listed languages6 listed languages
StreamingVia runtimeBatch-first
TimestampsYesNot documented
Speaker diarizationSeparate pipelineSeparate pipeline
CPU · Apple · NVIDIA fit2/5 · 4/5 · 5/52/5 · 4/5 · 5/5
Live · long recordings3/5 · 5/51/5 · 3/5
Main runtimeopenai-whisperHugging Face Transformers ≥ 4.52.1

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.

Whisper turbo and Granite Speech 5.0 2B by setup
SetupWhisper turboGranite Speech 5.0 2BHigher
Long recordings on an 8–12 GB NVIDIA GPU, balanced79/100 · #169/100 · #13Whisper turbo
Live captions or voice input (native streaming + timestamps, speed first)81/100 · #752/100 · #22Whisper turbo
Subtitles with timing, accuracy first87/100 · #266/100 · #19Whisper turbo
Meetings with speaker labels (diarization + timestamps)84/100 · #366/100 · #18Whisper turbo
CPU-only machine, low memory use59/100 · #1554/100 · #19Whisper turbo
Apple Silicon with 8–16 GB unified memory, long recordings69/100 · #859/100 · #22Whisper turbo
Japanese live transcription (native streaming, speed first)76/100 · #652/100 · #15Whisper turbo

Language coverage

Both list 6 languages: English, French, German, Japanese, Portuguese and Spanish. Only Whisper turbo lists Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir, Basque, Belarusian, Bosnian and 82 more. Granite Speech 5.0 2B lists no language that Whisper turbo lacks.

How to run each

Whisper turbo
openai-whisper, Hugging Face Transformers, whisper.cpp, faster-whisper.pip install -U openai-whisper

OpenAI lists about 6 GB of VRAM for turbo (809M parameters), an optimized version of large-v3. OpenAI also notes that turbo is not trained for translation tasks.

Granite Speech 5.0 2B
Hugging Face Transformers ≥ 4.52.1, vLLM, llama.cpp (GGUF), mlx-audio ≥ 0.5.9.pip install transformers torchaudio soundfile

No memory figure is published.

Runtimes and figures from the official sources checked on November 2, 2026; details on each Whisper turbo and Granite Speech 5.0 2B profile.

Common questions

Is Whisper turbo better than Granite Speech 5.0 2B?

It depends on the job. Whisper turbo ranks higher in all seven of the matcher's common setups, but the right choice still depends on the differences below. Benchmark both on your own audio before deciding.

Which is lighter to run, Whisper turbo or Granite Speech 5.0 2B?

Granite Speech 5.0 2B has the lighter memory rating (3/5 versus 2/5). Whisper turbo: OpenAI lists about 6 GB of VRAM for turbo (809M parameters), an optimized version of large-v3. OpenAI also notes that turbo is not trained for translation tasks. Granite Speech 5.0 2B: No memory figure is published.

Which supports more languages?

Whisper turbo lists 100 languages against 6. Only Whisper turbo lists Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Bangla and 86 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.