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ElevenLabs vs Together AI: Token Pricing, Speed & Intelligence

Full comparison of ElevenLabs and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

ElevenLabs

Hyper-realistic AI voice and speech synthesis

ElevenLabs is the leading AI voice platform, offering text-to-speech and voice cloning APIs. Its multilingual v2 model supports 29 languages with near-human quality, and Flash v2.5 delivers ultra-low latency for real-time voice applications.

Text-to-speechVoice cloningAudiobook generationReal-time voice agents
Proprietary models

Together AI

Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

Open-sourceFine-tuningCodingChatCost-efficiency
Open-weight hostHosts open weights

Key metrics

ElevenLabs
Together AI
Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

ElevenLabs

Best-in-class voice quality
Ultra-low latency (Flash model)
29-language support
Voice/TTS only — no text generation
Per-character pricing can add up at scale

Together AI

Largest selection of open-weight models
Fine-tuning support for custom model training
OpenAI-compatible API — easy migration
Competitive pricing on Llama 3.x models
Supports 405B parameter models
No proprietary frontier models
Throughput lower than Groq/Cerebras for speed-critical apps
Fine-tuning adds complexity vs. pure inference providers

Key differentiators

ElevenLabs

ElevenLabs Flash v2.5 delivers sub-300ms latency for real-time voice applications, making it the go-to choice for voice AI agents.

Together AI

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Frequently asked questions

ElevenLabs FAQs

What is ElevenLabs used for?

ElevenLabs provides text-to-speech and voice cloning APIs. It is used for audiobook generation, voice agents, dubbing, and any application requiring high-quality synthetic speech.

How does ElevenLabs pricing work?

ElevenLabs charges per character of text converted to speech. Pricing varies by plan and model — Flash v2.5 is cheaper and faster, while Multilingual v2 offers higher quality.

Together AI FAQs

What models does Together AI support?

Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.

How much does Together AI cost?

Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.

Does Together AI support fine-tuning?

Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

Provider resources

ElevenLabs

Provider pageWebsitePricingDocs

Together AI

Provider pageWebsitePricingDocs

ElevenLabs — Hyper-realistic AI voice and speech synthesis

ElevenLabs is the leading AI voice platform, offering text-to-speech and voice cloning APIs. Its multilingual v2 model supports 29 languages with near-human quality, and Flash v2.5 delivers ultra-low latency for real-time voice applications.

ElevenLabs Flash v2.5 delivers sub-300ms latency for real-time voice applications, making it the go-to choice for voice AI agents.

Together AI — Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Key strengths compared

ElevenLabs

  • ▸Best-in-class voice quality
  • ▸Ultra-low latency (Flash model)
  • ▸29-language support

Together AI

  • ▸Largest selection of open-weight models
  • ▸Fine-tuning support for custom model training
  • ▸OpenAI-compatible API — easy migration

Provider category context

ElevenLabs is a inference api, founded in 2022. Together AI is a inference api, founded in 2022. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both ElevenLabs and Together AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.