Gladia vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-23
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At a glance

DimensionGladiaVoyage AI
PricingFreemium (pay-as-you-go, credit-based)Contact sales (custom)
LatencyReal-time streaming <300ms, partial transcripts <100msLow-latency inference (4x smaller model), batch API for scale
Language Support100+ languages, automatic detection, code-switchingPrimarily English, domain-specific (finance, legal, code)
Key ModelsSolaria-1 (universal), Solaria-3 (English/European)voyage-3.5, rerank-2.5, voyage-multimodal-3.5 (announced)
Best ForReal-time voice products and transcriptionEnterprise RAG with domain-specific embeddings
ComplianceNot specifiedSOC 2, HIPAA

Choose Voyage AI if your priority is high-accuracy retrieval on domain-specific documents (finance, legal, code) with long-context embeddings and cost-efficient vector storage. Choose Gladia if you need real-time, low-latency transcription across 100+ languages for voice products, meetings, or contact centers. Gladia's freemium model suits smaller teams, while Voyage AI requires custom enterprise pricing.

Gladia
Gladia

Real-time & batch transcription API with built-in audio intelligence for multilingual voice apps

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Voyage AI
Voyage AI

Enterprise-grade embedding models and rerankers that boost RAG accuracy and cut vector storage costs.

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Pricing
Freemium
Contact Sales
Plans
$0.61/hr async, $0.75/hr real-time, €50 free credits
Async from $0.20/hr, Real-time from $0.25/hr (custom)
Custom (annual)
Popularity
6 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWebDesktop
WebAPI
Categories
Transcription & Speech-to-Text☎️ Voice AI Agents & Phone Automation👥 Meeting Assistants & Notetakers
🗄️ Vector Databases & Retrieval
Features
Real-time streaming transcription (sub-300ms latency)
Batch/async transcription for pre-recorded audio
Partial transcripts in under 100ms for live conversations
Solaria-3 model: 9.6% WER on real English audio
100+ languages with automatic detection
Code-switching between languages
Speaker diarization (#1 on pyannoteAI benchmark)
PII redaction
Sentiment analysis (94% confidence)
Named entity recognition (names, emails, addresses)
Chapterization and summarization
Audio-to-LLM pipeline (native or bring-your-own-model)
Translation and subtitles generation
Custom vocabulary and custom spelling
CLI tool (gladia-cli) for command-line transcription
Embedding models: voyage-3.5, voyage-3.5 lite
Domain-specific models for finance, legal, code
Company-specific fine-tuned models
Voyage 4 model series
Multimodal model: voyage-multimodal-3.5
Long-context support up to 32K tokens
Low-dimensional embeddings (3x-8x shorter vectors)
Reranker models: rerank-2.5, rerank-2.5-lite
Instruction following for rerankers
Batch API for large-scale workloads
Voyage-context-3: chunk-level details with global context
Low-latency inference (4x smaller model)
SOC 2 and HIPAA compliance
Integrations
Zoom
Google Meet
Microsoft Teams
Pipecat
Livekit
Vapi
Recall
Twilio
Zapier
Make
n8n
Salesforce
Attendee
VideoSDK
Composio

What real users say: Gladia vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Gladia

64 mentions across 4 sources · 32% positive — critical

Hacker News, YouTube, Bluesky, Lemmy

What users praise

  • #1 on STT blind test according to compare-stt.com
  • Sub-300ms real-time streaming with <100ms partials
  • Bundled intelligence features at no extra cost
  • 100+ languages with auto-detection and code-switching

What frustrates them

  • Hallucinated on tricky audio where competitors stayed silent
  • Solaria-3 initial language coverage is limited to 5 languages
  • Community support is thin outside HN and few Bluesky posts
  • Vendor lock-in concerns for open-source proponents

Researched Jul 5, 2026

Voyage AI

41 mentions across 4 sources · 47% positive — mixed

Hacker News, YouTube, Stack Overflow, Lemmy

What users praise

  • Rerankers are widely praised for dramatically improving retrieval accuracy, often called 'magical'.
  • Low-dimensional embeddings reduce vector storage costs by 3x to 8x per user reports.
  • Long-context support (up to 32K tokens) is a differentiator for processing large documents.
  • Domain-specific models for finance, legal, and code deliver specialized performance.

What frustrates them

  • Default data training policy raises serious privacy concerns for enterprise legal review.
  • Pricing is opaque and contact-only, hampering budget planning for individuals.
  • MongoDB acquisition creates vendor lock-in worries for non-MongoDB users.
  • Most tutorials and docs assume MongoDB Atlas, leaving other vector DB users underserved.

Researched Aug 18, 2026

Who should pick which

  • Enterprise RAG developer (finance/legal)
    Pick: Voyage AI

    Domain-specific embedding models (voyage-3.5 legal/finance) and long-context support (32K tokens) deliver high retrieval accuracy on specialized documents, plus SOC 2/HIPAA compliance.

  • Voice agent builder
    Pick: Gladia

    Real-time streaming with <300ms latency and partial transcripts <100ms enable natural conversational flows. Supports 100+ languages and integrates with Pipecat, Livekit, Twilio.

  • Contact center QA analyst
    Pick: Gladia

    Gladia's speaker diarization (top accuracy), real-time transcription, and PII redaction are tailored for call recording analysis. The audio-to-LLM pipeline allows custom insights.

  • Startup needing affordable embeddings
    Pick: Voyage AI

    Voyage's low-dimensional embeddings reduce vector storage costs significantly. However, pricing is contact-based, so startups should evaluate if the sales engagement fits their budget.

  • Media subtitling team
    Pick: Gladia

    Batch transcription with 100+ languages, automatic language detection, and subtitle generation streamline workflow. No domain-specific fine-tuning needed.

Frequently Asked Questions

Gladia vs Voyage AI: which should you choose?

Choose Voyage AI if your priority is high-accuracy retrieval on domain-specific documents (finance, legal, code) with long-context embeddings and cost-efficient vector storage. Choose Gladia if you need real-time, low-latency transcription across 100+ languages for voice products, meetings, or contact centers. Gladia's freemium model suits smaller teams, while Voyage AI requires custom enterprise pricing.

Which tool is better for RAG on legal documents?

Voyage AI, with its domain-specific legal embedding model (voyage-3.5 legal) and long-context support, provides higher retrieval accuracy for legal RAG. Gladia does not offer domain-specific embeddings.

Can Gladia handle real-time voice conversations?

Yes, Gladia offers real-time streaming with sub-300ms latency and partial transcripts in <100ms, making it suitable for voice agents and live conversations.

Does Voyage AI have a free tier?

No, Voyage AI uses contact-based pricing and does not offer a free tier. Gladia has a limited free playground.

Which tool supports more languages?

Gladia supports 100+ languages with automatic detection and code-switching. Voyage AI primarily focuses on English and domain-specific tasks in finance, legal, and code.

Can I fine-tune models on my own data?

Voyage AI offers company-specific fine-tuned models (enterprise plan). Gladia uses proprietary Solaria models and does not support custom fine-tuning, but allows custom vocabulary and spelling.

Do both tools offer batch processing?

Yes. Voyage AI has a Batch API for large-scale embedding jobs. Gladia offers batch (asynchronous) transcription with no hallucinations.

Which tool is SOC 2 and HIPAA compliant?

Voyage AI explicitly mentions SOC 2 and HIPAA compliance, making it suitable for regulated industries. Gladia does not specify such compliance.

How does Gladia's pricing work after the latest update?

Gladia transitioned to a credit-based billing system with prepaid credits, wallet, auto top-up, and email notifications. No pricing changes were announced.

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Last reviewed: July 3, 2026