Cerebras vs Cohere: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and Cohere — 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

Cohere

Enterprise NLP — Command R+ with retrieval-augmented generation

Cohere focuses on enterprise NLP use cases, particularly retrieval-augmented generation (RAG) and search. Command R+ is their flagship model, optimised for tool use and multi-step reasoning in enterprise workflows. Cohere also offers embedding and reranking models that pair well with their LLMs.

RAGEnterprise searchEmbeddingsTool useMultilingual

Proprietary models

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

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

Cohere

Best-in-class RAG with native grounding and citations

Embedding and reranking models for full search pipeline

Enterprise SLAs and on-premise deployment options

Command R+ optimised for multi-step tool use

Strong multilingual support

Intelligence scores below frontier leaders

Less suitable for creative or general chat tasks

Smaller developer community than OpenAI/Anthropic

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.

Cohere

The only major LLM provider with a complete RAG stack — LLM, embeddings, and reranking — all from one API.

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.

Cohere FAQs

What is Cohere best used for?

Cohere excels at retrieval-augmented generation (RAG), enterprise search, and document processing. Command R+ is optimised for grounded generation with citations, making it ideal for knowledge bases, customer support, and research tools.

Does Cohere offer embedding models?

Yes. Cohere's Embed models are among the best available for semantic search and RAG pipelines. Combined with their Rerank model, you can build a complete search stack using only Cohere's API.

How much does Cohere cost?

Command R+ pricing varies by use case. Cohere offers a free trial tier and enterprise pricing. Check their pricing page for current rates as they vary by model and volume.

Provider resources

Cerebras

Provider page Website Pricing Docs

Cohere

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.

Cohere — Enterprise NLP — Command R+ with retrieval-augmented generation

The only major LLM provider with a complete RAG stack — LLM, embeddings, and reranking — all from one API.

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

Cohere

▸Best-in-class RAG with native grounding and citations
▸Embedding and reranking models for full search pipeline
▸Enterprise SLAs and on-premise deployment options

Provider category context

Cerebras is a inference api, founded in 2016. Cohere is a frontier lab, founded in 2019. Cerebras as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Cohere as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose Cerebras if you need 4,500+ tokens/sec on llama 3.1 8b — fastest inference available. Choose Cohere if you need best-in-class rag with native grounding and citations. 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.