Cerebras vs ElevenLabs: Token Pricing, Speed & Intelligence

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

Cerebras

Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth

Cerebras uses wafer-scale silicon (the CS-3 chip covers an entire silicon wafer) to deliver extraordinary inference throughput. Llama 3.1 8B runs at 4,500+ tokens/second — roughly 10× faster than GPU-based providers. This makes Cerebras uniquely suited for real-time applications, voice AI, and interactive coding assistants.

Voice AIReal-time chatSpeedInteractive codingStreaming

Open-weight hostHosts open weights

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

Key metrics

Cheapest input ($/1M)

—

Cheapest output ($/1M)

—

Peak throughput

—

Best latency (TTFT)

—

Intelligence score

—

Context window

—

Live token pricing

Strengths & weaknesses

Cerebras

4,500+ tokens/sec on Llama 3.1 8B — fastest inference available

Sub-50ms time-to-first-token for real-time applications

Wafer-scale chip architecture eliminates GPU memory bottlenecks

Competitive pricing for the throughput delivered

OpenAI-compatible API

Very limited model selection — only a few Llama variants

No vision or multimodal support

No fine-tuning capability

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

Key differentiators

Cerebras

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

ElevenLabs

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

Frequently asked questions

Cerebras FAQs

How fast is Cerebras inference?

Cerebras delivers 4,500+ tokens/second on Llama 3.1 8B — roughly 10× faster than GPU-based providers like Groq (1,200 t/s) or Together AI (350 t/s). This makes it the fastest inference option available.

What is a Cerebras wafer-scale chip?

The Cerebras CS-3 chip is fabricated on a single silicon wafer rather than individual dies. This gives it 900,000 AI cores and 44GB of on-chip SRAM, eliminating the memory bandwidth bottleneck that limits GPU inference speed.

What models does Cerebras support?

Cerebras currently supports Llama 3.1 8B and 70B, and Llama 3.3 70B. The model selection is intentionally limited — Cerebras focuses on delivering extreme speed on a curated set of models rather than broad catalog coverage.

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.

Provider resources

Cerebras

Provider page Website Pricing Docs

ElevenLabs

Provider page Website Pricing Docs

Cerebras — Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

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.

Key strengths compared

Cerebras

▸4,500+ tokens/sec on Llama 3.1 8B — fastest inference available
▸Sub-50ms time-to-first-token for real-time applications
▸Wafer-scale chip architecture eliminates GPU memory bottlenecks

ElevenLabs

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

Provider category context

Cerebras is a inference api, founded in 2016. ElevenLabs 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 Cerebras and ElevenLabs 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.