# Best Speech-to-text APIs for Developers (2026)

> The best Speech-to-text APIs platforms for developers: Azure AI Speech (STT) leads, for building transcription into products: metered usage pricing, sdk.

For developers, **Azure AI Speech (STT)** is our pick (from $1,600/mo): For developers building transcription products, batch pricing is the dominant cost factor. Building transcription into products: metered usage pricing, SDK quality, timestamps, and format flexibility. Below is the full ranking and the tradeoffs, or read [how we score](https://www.versusref.com/methodology/).

## What matters for developers

Weight ×5 = decisive, ×1 = relevant.

| Fact | Weight | Azure AI Speech (STT) | Deepgram | Amazon Transcribe | Groq (hosted Whisper) | Qwen3-ASR |
| --- | --- | --- | --- | --- | --- | --- |
| Batch price per audio minute | ×4 | 0.003 $/audio-min (Jul 20) | 0.004 $/audio-min (Jul 20) | 0.006 $/audio-min (Jul 20) | 0.002 $/audio-min (Jul 20) | 0.002 $/audio-min (Jul 20) |
| Official SDKs | ×4 | C#, C++, Go, Java, JavaScript, Objective-C, Swift, Python (Jul 20) | JS/TS, Python, .NET, Go, Java, Rust (Jul 20) | Python, JS, Java, .NET, Go, Ruby, PHP, C++, Rust, CLI (Jul 20) | Python, JS/TS (official) (Jul 20) | Python (pip, vLLM, Transformers); DashScope API (Jul 20) |
| Websocket streaming API | ×4 | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) | ✗  No (Jul 20) | ✓  Yes (Jul 20) |
| Word-level timestamps | ×3 | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) | ✓  Yes (Jul 20) |
| Supported audio formats | ×3 | WAV, MP3, OGG/OPUS, FLAC, WMA, AAC, AMR, WebM, SPEEX (Jul 20) | 100+ formats incl MP3, MP4, WAV, FLAC, Ogg, Opus, WebM (Jul 20) | Batch: AMR, FLAC, M4A, MP3, MP4, Ogg, WAV, WebM (Jul 20) | flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm (Jul 20) | n/a |

- ×4 **Batch price per audio minute:** Usage pricing you can meter beats plans when transcription is a product feature.
- ×4 **Official SDKs:** Official SDKs in your stack cut integration time and maintenance risk.
- ×4 **Websocket streaming API:** Streaming unlocks live captions and responsive voice features, not just after-the-fact transcripts.
- ×3 **Word-level timestamps:** Word timing powers subtitles, search-in-audio, and clip extraction.
- ×3 **Supported audio formats:** Native format support avoids a transcode step in front of every upload.

## The ranking, tool by tool

| Rank | Tool | Verdict | Score | Price |
| --- | --- | --- | --- | --- |
| 1 | [Azure AI Speech (STT)](https://www.versusref.com/stt/tools/azure-speech/) | For developers building transcription products, batch pricing is the dominant cost factor. | 3 of 4 points · 2 matchups | From $1,600/mo |
| 2 | [Deepgram](https://www.versusref.com/stt/tools/deepgram/) | For developers building transcription into products, per-minute pricing is the most consequential factor at scale. | 18 of 30 points · 15 matchups | See pricing |
| 3 | [Amazon Transcribe](https://www.versusref.com/stt/tools/amazon-transcribe/) | For developers building transcription products, pricing is the first major factor. | 2 of 4 points · 2 matchups | See pricing |
| 4 | [Groq (hosted Whisper)](https://www.versusref.com/stt/tools/groq-whisper/) | On pricing, Groq charges 0.002 dollars per audio minute versus 0.006 dollars for OpenAI, making Groq 3x cheaper, which is decisive given that batch price carries the heaviest weight. | 1 of 2 points · 1 matchup | See pricing |
| 5 | [Qwen3-ASR](https://www.versusref.com/stt/tools/qwen3-asr/) (OSS) | On batch pricing, Qwen3-ASR charges 0.002 dollars per audio minute versus 0.006 for OpenAI Whisper, making it 3x cheaper, a decisive advantage at the heaviest weight. | 1 of 2 points · 1 matchup | See pricing |
| 6 | [Soniox](https://www.versusref.com/stt/tools/soniox/) | On batch pricing, Soniox charges 0.002 dollars per audio minute versus Deepgram at 0.004, making Soniox exactly half the cost, a decisive advantage for metered usage at scale. | 1 of 2 points · 1 matchup | See pricing |
| 7 | [Speechmatics](https://www.versusref.com/stt/tools/speechmatics/) | For developers building metered transcription products, batch pricing is the heaviest factor. | 1 of 2 points · 1 matchup | See pricing |
| 8 | [AssemblyAI](https://www.versusref.com/stt/tools/assemblyai/) | For developers building transcription into products, AssemblyAI leads on three of the five weighted attributes. | 5.5 of 12 points · 6 matchups | See pricing |
| 9 | [Rev AI](https://www.versusref.com/stt/tools/rev/) | For developers building transcription products, batch pricing is the heaviest factor. | 1.5 of 4 points · 2 matchups | See pricing |
| 10 | [Mistral Voxtral Transcribe](https://www.versusref.com/stt/tools/voxtral/) | On batch pricing, Mistral Voxtral Transcribe charges $0.003 per audio minute versus $0.006 for OpenAI Whisper, making it exactly half the cost on the heaviest-weighted attribute. | 2 of 6 points · 3 matchups | See pricing |
| 11 | [ElevenLabs Scribe](https://www.versusref.com/stt/tools/elevenlabs-scribe/) | On batch pricing, ElevenLabs Scribe charges about $0.003667 per audio minute versus AssemblyAI at $0.0035 per audio minute, making AssemblyAI slightly cheaper. | 2 of 8 points · 4 matchups | From $6/mo |
| 12 | [OpenAI Whisper (API)](https://www.versusref.com/stt/tools/whisper/) | For batch pricing, OpenAI Whisper (API) charges 0.006 dollars per audio minute versus Gladia at 0.010 dollars per audio minute, a 40% cost advantage that matters heavily for metered usage at scale. | 3 of 18 points · 9 matchups | See pricing |
| 13 | [Cartesia Ink](https://www.versusref.com/stt/tools/cartesia-ink/) | Streaming STT for voice agents with native turn detection. | 0 of 2 points · 1 matchup | From $5/mo |
| 14 | [Cohere Transcribe](https://www.versusref.com/stt/tools/cohere-transcribe/) | Enterprise-grade open ASR for accurate batch transcription. | 0 of 2 points · 1 matchup | See pricing |
| 15 | [Gladia](https://www.versusref.com/stt/tools/gladia/) | EU-based real-time and batch STT API built on the Solaria models. | 0 of 6 points · 3 matchups | See pricing |
| 16 | [Google Cloud Speech-to-Text](https://www.versusref.com/stt/tools/google-stt/) | Hyperscaler STT API with Chirp foundation models and enterprise compliance. | 0 of 6 points · 3 matchups | See pricing |
| 17 | [IBM watsonx Speech to Text](https://www.versusref.com/stt/tools/ibm-watson-stt/) | Enterprise cloud STT API. | 0 of 2 points · 1 matchup | See pricing |
| 18 | [Moonshine](https://www.versusref.com/stt/tools/moonshine/) (OSS) | On-device streaming STT for live voice interfaces, from tiny edge models to Whisper Large v3-beating accuracy. | 0 of 2 points · 1 matchup | See pricing |
| 19 | [NVIDIA Parakeet / Riva](https://www.versusref.com/stt/tools/nvidia-parakeet/) | Open-weights, GPU-accelerated self-hosted STT stack. | 0 of 4 points · 2 matchups | See pricing |
| 20 | [Smallest.ai Pulse](https://www.versusref.com/stt/tools/smallest-pulse/) | Ultra-low-latency multilingual STT for voice agents. | 0 of 2 points · 1 matchup | See pricing |

### 1. Azure AI Speech (STT)

For developers building transcription products, batch pricing is the dominant cost factor. [Full Azure AI Speech (STT) vs Google Cloud Speech-to-Text verdict](https://www.versusref.com/stt/azure-speech-vs-google-stt/)

For developers building transcription products, batch pricing is the heaviest factor. [Full Azure AI Speech (STT) vs Deepgram verdict](https://www.versusref.com/stt/azure-speech-vs-deepgram/)

### 2. Deepgram

For developers building transcription into products, per-minute pricing is the most consequential factor at scale. [Full Deepgram vs IBM watsonx Speech to Text verdict](https://www.versusref.com/stt/deepgram-vs-ibm-watson-stt/)

For developers building transcription products, batch pricing and SDK breadth carry the most weight. [Full Deepgram vs ElevenLabs Scribe verdict](https://www.versusref.com/stt/deepgram-vs-elevenlabs-scribe/)

For developers building transcription products, batch pricing is the heaviest factor. [Full Deepgram vs Amazon Transcribe verdict](https://www.versusref.com/stt/amazon-transcribe-vs-deepgram/)

For developers building transcription into products, batch pricing and SDK breadth are the heaviest factors. [Full Deepgram vs Smallest.ai Pulse verdict](https://www.versusref.com/stt/deepgram-vs-smallest-pulse/)

Both tools offer metered usage pricing and websocket streaming, so those attributes do not differentiate. [Full Deepgram vs Mistral Voxtral Transcribe verdict](https://www.versusref.com/stt/deepgram-vs-voxtral/)

For developers building transcription products, Deepgram leads on nearly every key attribute. [Full Deepgram vs NVIDIA Parakeet / Riva verdict](https://www.versusref.com/stt/deepgram-vs-nvidia-parakeet/)

On the two heaviest attributes, Deepgram leads or matches. [Full Deepgram vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/deepgram-vs-whisper/)

Deepgram leads on three of the five weighted attributes. [Full Deepgram vs Google Cloud Speech-to-Text verdict](https://www.versusref.com/stt/deepgram-vs-google-stt/)

On the two heaviest attributes, Deepgram leads decisively. [Full Deepgram vs Gladia verdict](https://www.versusref.com/stt/deepgram-vs-gladia/)

For developers building transcription products, Deepgram leads on nearly every decisive attribute. [Full Deepgram vs Cohere Transcribe verdict](https://www.versusref.com/stt/cohere-transcribe-vs-deepgram/)

On metered usage pricing, Deepgram publishes a clear batch rate of $0.004 per audio minute, while Cartesia Ink uses a credits model with a $5/mo minimum and no published per-minute batch rate, making cost predictability harder for developers. [Full Deepgram vs Cartesia Ink verdict](https://www.versusref.com/stt/cartesia-ink-vs-deepgram/)

### 3. Amazon Transcribe

For developers building transcription products, pricing is the first major factor. [Full Amazon Transcribe vs Google Cloud Speech-to-Text verdict](https://www.versusref.com/stt/amazon-transcribe-vs-google-stt/)

### 4. Groq (hosted Whisper)

On pricing, Groq charges 0.002 dollars per audio minute versus 0.006 dollars for OpenAI, making Groq 3x cheaper, which is decisive given that batch price carries the heaviest weight. [Full Groq (hosted Whisper) vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/groq-whisper-vs-whisper/)

### 5. Qwen3-ASR

On batch pricing, Qwen3-ASR charges 0.002 dollars per audio minute versus 0.006 for OpenAI Whisper, making it 3x cheaper, a decisive advantage at the heaviest weight. [Full Qwen3-ASR vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/qwen3-asr-vs-whisper/)

### 6. Soniox

On batch pricing, Soniox charges 0.002 dollars per audio minute versus Deepgram at 0.004, making Soniox exactly half the cost, a decisive advantage for metered usage at scale. [Full Soniox vs Deepgram verdict](https://www.versusref.com/stt/deepgram-vs-soniox/)

### 7. Speechmatics

For developers building metered transcription products, batch pricing is the heaviest factor. [Full Speechmatics vs AssemblyAI verdict](https://www.versusref.com/stt/assemblyai-vs-speechmatics/)

### 8. AssemblyAI

For developers building transcription into products, AssemblyAI leads on three of the five weighted attributes. [Full AssemblyAI vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/assemblyai-vs-whisper/)

For developers building transcription products, batch pricing is the heaviest factor. [Full AssemblyAI vs Gladia verdict](https://www.versusref.com/stt/assemblyai-vs-gladia/)

On batch pricing, the heaviest attribute, AssemblyAI charges $0.0035 per audio minute versus Deepgram at $0.0043 per audio minute, giving AssemblyAI a meaningful cost edge at scale. [Full AssemblyAI vs Deepgram verdict](https://www.versusref.com/stt/assemblyai-vs-deepgram/)

### 9. Rev AI

For developers building transcription products, batch pricing is the heaviest factor. [Full Rev AI vs Deepgram verdict](https://www.versusref.com/stt/deepgram-vs-rev/)

### 10. Mistral Voxtral Transcribe

On batch pricing, Mistral Voxtral Transcribe charges $0.003 per audio minute versus $0.006 for OpenAI Whisper, making it exactly half the cost on the heaviest-weighted attribute. [Full Mistral Voxtral Transcribe vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/voxtral-vs-whisper/)

On the heaviest attribute, batch price, Mistral Voxtral Transcribe comes in at $0.003 per audio minute versus $0.004 for ElevenLabs Scribe, a 25% cost advantage that directly benefits metered usage billing. [Full Mistral Voxtral Transcribe vs ElevenLabs Scribe verdict](https://www.versusref.com/stt/elevenlabs-scribe-vs-voxtral/)

### 11. ElevenLabs Scribe

On batch pricing, ElevenLabs Scribe charges about $0.003667 per audio minute versus AssemblyAI at $0.0035 per audio minute, making AssemblyAI slightly cheaper. [Full ElevenLabs Scribe vs AssemblyAI verdict](https://www.versusref.com/stt/assemblyai-vs-elevenlabs-scribe/)

On batch pricing, ElevenLabs Scribe costs $0.004 per audio minute versus $0.006 for OpenAI Whisper, a 33% cost advantage that matters heavily for metered developer billing. [Full ElevenLabs Scribe vs OpenAI Whisper (API) verdict](https://www.versusref.com/stt/elevenlabs-scribe-vs-whisper/)

### 12. OpenAI Whisper (API)

For batch pricing, OpenAI Whisper (API) charges 0.006 dollars per audio minute versus Gladia at 0.010 dollars per audio minute, a 40% cost advantage that matters heavily for metered usage at scale. [Full OpenAI Whisper (API) vs Gladia verdict](https://www.versusref.com/stt/gladia-vs-whisper/)

On pricing, the OpenAI Whisper API offers a clear metered rate of $0.006 per audio minute, while NVIDIA Parakeet uses a hybrid model with only a free trial endpoint and no published per-minute rate, making cost predictability harder for product builders. [Full OpenAI Whisper (API) vs NVIDIA Parakeet / Riva verdict](https://www.versusref.com/stt/nvidia-parakeet-vs-whisper/)

On pricing, Moonshine is self-hosted with no metered cost, while the OpenAI Whisper API charges $0.006 per audio minute, so Moonshine wins on raw cost. [Full OpenAI Whisper (API) vs Moonshine verdict](https://www.versusref.com/stt/moonshine-vs-whisper/)

### 13. Cartesia Ink

Streaming STT for voice agents with native turn detection. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 14. Cohere Transcribe

Enterprise-grade open ASR for accurate batch transcription. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 15. Gladia

EU-based real-time and batch STT API built on the Solaria models. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 16. Google Cloud Speech-to-Text

Hyperscaler STT API with Chirp foundation models and enterprise compliance. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 17. IBM watsonx Speech to Text

Enterprise cloud STT API. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 18. Moonshine

On-device streaming STT for live voice interfaces, from tiny edge models to Whisper Large v3-beating accuracy. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 19. NVIDIA Parakeet / Riva

Open-weights, GPU-accelerated self-hosted STT stack. No won verdicts for this use case yet; it ranks on ties and near-misses.

### 20. Smallest.ai Pulse

Ultra-low-latency multilingual STT for voice agents. No won verdicts for this use case yet; it ranks on ties and near-misses.

Source: https://www.versusref.com/stt/best/developers/