ElevenLabs vs Meta: Token Pricing, Speed & Intelligence

Full comparison of ElevenLabs and Meta — 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

Meta

Llama 4 & Muse Spark — the world's most widely deployed open-weight models

Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

Self-hosted inferenceCost-optimised at scaleEdge/on-deviceChatVisionCoding

Proprietary modelsHosts open weights

Key metrics

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

Meta

Open-weight models — self-host on any GPU cloud for lowest per-token cost at scale

Llama 4 Behemoth: 2T parameter frontier model with 1M context window

Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others

Llama 3.2 1B/3B models run on-device (mobile, edge)

No vendor lock-in — switch inference providers without changing model weights

Self-hosting requires GPU infrastructure expertise

Meta's own API has limited availability vs third-party hosts

Llama 4 Behemoth pricing not yet publicly listed

Smaller proprietary model lineup vs OpenAI/Anthropic

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.

Meta

The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.

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.

Meta FAQs

What is the Llama 4 context window?

Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 1.5 Pro for long-document and multi-document tasks.

How much does the Meta Llama API cost?

Llama 3.2 1B is $0.02/1M tokens in/out. Llama 3.2 3B is $0.03/$0.05. Llama 3.1 8B is $0.02/$0.05. Llama 3.2 90B Vision is $1.20/$1.20. Muse Spark 1.1 is $1.25/$4.25. Llama 4 Behemoth pricing is not yet publicly listed.

Can I self-host Llama models?

Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. A single H100 at ~$2.50/hr can serve Llama 3.1 8B at very high throughput, making self-hosting cost-effective above ~10M tokens/day.

Provider resources

ElevenLabs

Provider page Website Pricing Docs

Meta

Provider page Website Pricing Docs

ElevenLabs — Hyper-realistic AI voice and speech synthesis

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

Meta — Llama 4 & Muse Spark — the world's most widely deployed open-weight models

The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.

Key strengths compared

ElevenLabs

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

Meta

▸Open-weight models — self-host on any GPU cloud for lowest per-token cost at scale
▸Llama 4 Behemoth: 2T parameter frontier model with 1M context window
▸Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others

Provider category context

ElevenLabs is a inference api, founded in 2022. Meta is a open source host, founded in 2023. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose ElevenLabs if you need best-in-class voice quality. Choose Meta if you need open-weight models — self-host on any gpu cloud for lowest per-token cost at scale. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.