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ElevenLabs v3 vs Whisper

ElevenLabs v3 and Whisper are both Audio Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeElevenLabs v3Whisper
Product statusStatus not recordedStatus not recorded
VendorElevenLabsOpenAI
Rating★ 4.7★ 4.7
PricingPaidFree
PlatformsWeb, APISelf-hosted, CLI, Python
Key featuresAudio tags for delivery direction, Multi-speaker dialogue, 70+ documented languagesMultilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes
Headquarters——
Launched——
Open sourceNoYes

Key differences

  • ElevenLabs v3 and Whisper carry the same editorial score (4.7★).
  • ElevenLabs v3 is Paid, while Whisper is Free.
  • Whisper is open source (its code is public), while ElevenLabs v3 is proprietary.
  • ElevenLabs v3 runs on Web, API; Whisper runs on Self-hosted, CLI, Python.

ElevenLabs v3 and Whisper at a glance

ElevenLabs v3

ElevenLabs

Previous-generation ElevenLabs speech model with audio tags and multi-speaker dialogue, accessed through hosted text-to-speech tools or API.

Rating
4.7★
Pricing
Paid

Editorial verdict

Use the exact v3 model and voice terms when maintaining an existing workflow, and budget UI credits separately from API characters.

Strengths

  • Documented dialogue and delivery controls
  • UI and API access paths

Key features

  • Audio tags for delivery direction
  • Multi-speaker dialogue
  • 70+ documented languages

Best for

  • Reviewed character dialogue
  • Narration drafts
  • Multilingual voiceover evaluation
Read the full ElevenLabs v3 review →

Whisper

OpenAI

Whisper is OpenAI's downloadable speech-recognition code and models for multilingual transcription and translation into English, with local deployment options.

Rating
4.7★
Pricing
Free

Editorial verdict

Consider Whisper when you can operate and evaluate an ASR pipeline, and review the transcript against the recording.

Strengths

  • Downloadable code and official weights
  • Model sizes and task limits are documented

Key features

  • Multilingual transcription and language detection
  • English translation with supported models
  • CLI/Python and selectable model sizes

Best for

  • Reviewable subtitle drafts
  • Local transcription pipelines
  • Speech-to-English translation with suitable models
Read the full Whisper review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • ElevenLabs v3 also lists: Audio tags for delivery direction, Multi-speaker dialogue, 70+ documented languages
  • Whisper also lists: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes

Frequently asked questions

Is ElevenLabs v3 or Whisper better?

ElevenLabs v3 and Whisper carry the same editorial score (4.7★), so the better choice depends on your needs — see the feature and platform comparison above.

Which is cheaper, ElevenLabs v3 or Whisper?

ElevenLabs v3 is Paid and Whisper is Free. Check each product page for current plan details.

Are ElevenLabs v3 and Whisper open source?

Whisper is open source, while ElevenLabs v3 is proprietary.

What platforms do ElevenLabs v3 and Whisper support?

ElevenLabs v3 supports Web, API; Whisper supports Self-hosted, CLI, Python.

What are the main features of ElevenLabs v3 and Whisper?

ElevenLabs v3: Audio tags for delivery direction, Multi-speaker dialogue, 70+ documented languages. Whisper: Multilingual transcription and language detection, English translation with supported models, CLI/Python and selectable model sizes.

Visit ElevenLabs v3 →Visit Whisper →

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