IBM Granite Speech
What ChatGPT, Claude, Gemini & Grok actually say · July 2026
The verdict
IBM Granite Speech appears in 1 AI-ranked category — best position #4 for open-source speech-to-text model.
Top-tier accuracy on open benchmarks under an Apache 2.0 license, offering a non-autoregressive variant for massive throughput and a Plus model that natively supports speaker attribution and timestamps.
Grok Very close to top accuracy (~5.85% WER), excels in enterprise English ASR plus built-in translation capabilities; robust for production with good handling of varied domains; open weights suit self-hosting practitioners needing reliability over raw speed.
Where IBM Granite Speech falls short, per the models
- Gemini Very limited multilingual support, optimized primarily for English and five other major languages.
- Grok Larger size leads to higher inference costs/latency; less optimized for extreme multilingual or ultra-low-latency scenarios compared to specialists.
Top alternatives per the models: OpenAI Whisper · NVIDIA Parakeet TDT · NVIDIA Canary-Qwen 2.5B · Qwen3-ASR
Embed your ranking badge
IBM Granite Speech ranks #4 for best open-source speech-to-text model by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-open-source-speech-to-text-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-ibm-granite-speech)<a href="https://modelsagree.com/best/best-open-source-speech-to-text-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-ibm-granite-speech"><img src="https://modelsagree.com/badge/ibm-granite-speech.svg" alt="IBM Granite Speech — ranked #4 for Best open-source speech-to-text model by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled weekly · raw reasoning shown verbatim · methodology