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Ai tools & services: ElevenLabs Turbo v3 vs. Gemini Ultra 2.0

Quick Verdict

ElevenLabs Turbo v3 is a specialized tool for high-quality, low-latency voice synthesis with excellent voice cloning and emotional expression capabilities. Gemini Ultra 2.0 is a more general-purpose AI model excelling in reasoning, multimodal processing, and coding, making it suitable for a wider range of applications beyond just voice synthesis.

Key features – Side-by-Side

AttributeElevenLabs Turbo v3Gemini Ultra 2.0
NameElevenLabs Turbo v3Gemini Ultra 2.0
Text-to-speech LatencyTurbo v2.5: 250-300ms, Flash v2.5: ~75msNot available
Voice Cloning AccuracyProfessional and instant voice cloning with voice verificationNot available
Multilingual Support70+ languages140 languages
Emotional Expression RangeHigh emotional range and contextual understanding, supports emotional nuance and audio tags for directing emotional performanceNot available
Reasoning and Problem-SolvingFocuses on voice synthesis, doesn't inherently possess complex reasoning or problem-solving capabilitiesOutperforms human experts on MMLU benchmark, uses reasoning capabilities to think more carefully before answering difficult questions
Multimodal CapabilitiesNot availableNatively multimodal, processing text, images, audio, and video seamlessly
CodingNot availableExcels in coding benchmarks, supports multiple languages, suggests modifications, debugs, optimizes, and explains code
Contextual UnderstandingUnderstands emotional context at a structural level, supports multi-speaker dialogue with natural interruptions and tone shiftsRemembers context, adjusts to new information, provides nuanced responses, 1-million-token context window
API IntegrationRobust API for integrating AI-generated voicesGemini 2.0 Flash Experimental includes a Multimodal Live API for real-time audio and video interactions
Customization OptionsCustomizable pronunciation, speaking speed (0.7x to 1.2x), and language-specific voice settingsNot available
Background Noise HandlingVoice isolation API to separate vocal tracks from background audioNot available
Content ModerationActively monitors content, uses automated systems and human review, prevents creation of content with high-risk voicesGoogle uses safety and responsibility measures throughout training and deployment
Hallucination RateCan be prone to hallucinations in creative settings, longer prompts can help mitigate thisGemini 2.5 Deep Think demonstrated improved content safety and tone-objectivity compared to Gemini 2.5 Pro but had a higher tendency to refuse benign requests
PriceDifferent pricing tiers, lower cost per character for Flash v2.5 modelNot available
Live Data ProcessingNot availableCan process live data streams like video or audio in real-time, generate live subtitles, analyze and act on data from a live feed, generate data science notebooks from natural language

Overall Comparison

ElevenLabs Turbo v3: Latency as low as 75ms (Flash v2.5), supports 70+ languages. Gemini Ultra 2.0: Supports 140 languages, outperforms human experts on MMLU benchmark, 1-million-token context window.

Pros and Cons

ElevenLabs Turbo v3

Pros:
  • Low latency options for real-time applications (Flash v2.5)
  • Professional and instant voice cloning options
  • Multilingual support for 70+ languages
  • Designed for expressive speech synthesis with a wide range of emotions
  • Robust API for integration
  • Customizable voice parameters (pronunciation, speed, language-specific settings)
  • Voice isolation API for background noise handling
  • Actively monitors content and has policies against misuse
  • Understands emotional context and supports multi-speaker dialogue
Cons:
  • Can be prone to hallucinations in creative settings
  • Does not possess complex reasoning or problem-solving capabilities

Gemini Ultra 2.0

Pros:
  • Excels in complex reasoning tasks
  • Maintains contextual understanding in long, complex conversations
  • Outperforms human experts on the MMLU benchmark
  • Natively multimodal, processing text, images, audio, and video seamlessly
  • Supports 140 languages
  • Can process live data streams in real-time
Cons:
  • Gemini 2.5 Deep Think had a higher tendency to refuse benign requests

User Experiences and Feedback