{"slug":"openai-whisper","name":"OpenAI Whisper","domain":"openai.com","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank OpenAI Whisper first for open-source speech-to-text model (one of 4 leaderboards it appears on). Source: https://modelsagree.com/product/openai-whisper (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":4,"brief":{"category":"best-open-source-speech-to-text-model","title":"Best open-source speech-to-text model","rank":1,"of":11,"top":null,"day":"2026-07-16","why":[{"t":"unmatched multilingual coverage","m":["Claude","Gemini","ChatGPT","Grok"],"q":"Unmatched multilingual coverage across 99+ languages"},{"t":"strong real-world robustness","m":["Claude","ChatGPT","Grok"],"q":"strong real-world robustness to accents, noise, and long-form audio"},{"t":"massive ecosystem","m":["Claude","Gemini","ChatGPT","Grok"],"q":"massive ecosystem, easy fine-tuning, and forks (e.g., faster-whisper)"},{"t":"permissive licensing and broad hardware support","m":["Claude","ChatGPT"],"q":"broad hardware support, permissive licensing"}],"gap":[],"fix":[{"t":"trails newer specialists on raw accuracy","m":["ChatGPT","Claude","Grok"],"q":"It trails newer specialists on raw accuracy"},{"t":"hallucinates text on silence or music","m":["ChatGPT","Claude","Gemini"],"q":"it notoriously hallucinates text on silence or music"},{"t":"slow and compute-hungry with no native streaming","m":["Claude","Gemini","Grok"],"q":"Slow and compute-hungry at full size with no native streaming"}]},"entries":[{"slug":"best-open-source-speech-to-text-model","title":"Best open-source speech-to-text model","rank":1,"of":11,"score":16,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":1,"Gemini":1,"Grok":3},"reason":"Still the default choice for the typical practitioner in 2026 — ~99-language coverage, strong robustness to accents and noisy real-world audio, permissive MIT license, and an unmatched ecosystem (faster-whisper, whisper.cpp, WhisperX for diarization/alignment, endless fine-tunes) that means it runs everywhere from a phone to a server; ranked on total practical value, not raw leaderboard WER, where newer models beat it.","reasons":[{"model":"Claude","reason":"Still the default choice for the typical practitioner in 2026 — ~99-language coverage, strong robustness to accents and noisy real-world audio, permissive MIT license, and an unmatched ecosystem (faster-whisper, whisper.cpp, WhisperX for diarization/alignment, endless fine-tunes) that means it runs everywhere from a phone to a server; ranked on total practical value, not raw leaderboard WER, where newer models beat it."},{"model":"Gemini","reason":"Unmatched multilingual coverage across 99+ languages and a dominant open-source ecosystem of optimized runtimes (like whisper.cpp and faster-whisper) that make it the industry standard for general-purpose deployment."},{"model":"ChatGPT","reason":"The safest general-purpose choice thanks to robust multilingual recognition, translation, mature tooling, broad hardware support, permissive licensing, and an excellent speed-quality trade-off"},{"model":"Grok","reason":"Proven multilingual powerhouse (99+ languages) with strong real-world robustness to accents, noise, and long-form audio; massive ecosystem, easy fine-tuning, and forks (e.g., faster-whisper) make it accessible and valuable for typical diverse-language practitioners despite not always topping pure English leaderboards."}],"fixes":[{"model":"ChatGPT","fix":"It trails newer specialists on raw accuracy and can hallucinate text during silence or difficult audio"},{"model":"Claude","fix":"Slow and compute-hungry at full size with no native streaming, and it notoriously hallucinates text on silence or music — long-form production use requires VAD chunking and an optimized runtime rather than the vanilla repo."},{"model":"Gemini","fix":"High computational latency and susceptibility to hallucination loops or repetition during periods of background noise or silence."},{"model":"Grok","fix":"Slower inference on standard hardware without heavy optimization; can struggle with very domain-specific jargon or highest English precision vs. newer hybrids."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-open-source-speech-to-text-model.json"},{"slug":"best-ai-transcription-api","title":"Best AI transcription API","rank":4,"of":8,"score":6,"appearances":2,"modelRanks":{"Gemini":3,"Grok":3},"reason":"Sets the baseline for zero-shot multilingual transcription accuracy across 99+ languages, offering simple, reliable integration for general-purpose batch processing.","reasons":[{"model":"Gemini","reason":"Sets the baseline for zero-shot multilingual transcription accuracy across 99+ languages, offering simple, reliable integration for general-purpose batch processing."},{"model":"Grok","reason":"Outstanding multilingual coverage (99+ languages), strong batch accuracy with noise/accent handling, open-source self-hosting option for data control/privacy, seamless integration in OpenAI ecosystem."}],"fixes":[{"model":"Gemini","fix":"Lacks native streaming capabilities, does not offer built-in speaker diarization, and is constrained by a strict 25MB file upload limit."},{"model":"Grok","fix":"Improve real-time streaming latency and end-of-speech detection for competitive voice agent use cases"}],"updated":"2026-07-13","rank_history":{"days":["2026-07-11","2026-07-12","2026-07-13"],"ranks":[4,null,4]},"api":"https://modelsagree.com/api/v1/best/best-ai-transcription-api.json"},{"slug":"best-speech-to-text-api","title":"Best speech-to-text API","rank":8,"of":8,"score":2,"appearances":1,"modelRanks":{"Grok":4},"reason":"Outstanding overall accuracy for batch processing, robust handling of accents/noise/technical vocab, broad language support and ecosystem integration","reasons":[{"model":"Grok","reason":"Outstanding overall accuracy for batch processing, robust handling of accents/noise/technical vocab, broad language support and ecosystem integration"}],"fixes":[{"model":"Grok","fix":"Significantly lower realtime latency and pricing for streaming/high-volume production use cases"}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13","2026-07-14","2026-07-15"],"ranks":[5,null,null,5,null,8,6,7,6]},"reasoning_shift":[{"model":"Gemini","from":"2026-07-14","to":"2026-07-15","added":[{"t":"direct-to-English translation capabilities","q":"translation capabilities (direct-to-English)"},{"t":"High latency","q":"High latency"},{"t":"PII redaction","q":"PII redaction"}],"dropped":[{"t":"eliminate recurring fees","q":"to eliminate recurring fees"},{"t":"strict 25MB file size limit","q":"strict 25MB file size limit"},{"t":"native real-time streaming","q":"lacks native real-time streaming"}]}],"api":"https://modelsagree.com/api/v1/best/best-speech-to-text-api.json"},{"slug":"best-speech-to-text-api-for-medical-transcription","title":"Best speech-to-text API for medical transcription","rank":9,"of":11,"score":1,"appearances":1,"modelRanks":{"Claude":5},"reason":"Free, open-source, and fully on-premise — the only credible zero-PHI-leaves-the-building option, with strong general accuracy and a huge fine-tuning ecosystem (medical fine-tunes exist) for teams with GPU and MLOps capacity","reasons":[{"model":"Claude","reason":"Free, open-source, and fully on-premise — the only credible zero-PHI-leaves-the-building option, with strong general accuracy and a huge fine-tuning ecosystem (medical fine-tunes exist) for teams with GPU and MLOps capacity"}],"fixes":[{"model":"Claude","fix":"Documented hallucination risk (fabricated phrases in pauses/silence) is genuinely dangerous in clinical records, it lacks medical-term tuning out of the box, and real-time streaming requires bolt-on engineering — not for anyone unable to add verification and self-hosting rigor"}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-speech-to-text-api-for-medical-transcription.json"}],"page":"https://modelsagree.com/product/openai-whisper","check":"https://modelsagree.com/check?q=OpenAI%20Whisper","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}