What is the latest version of Cerebras WSE-3?

The current shipped version of Cerebras WSE-3 is CS-4, as of November 8, 2026.

How much does Cerebras WSE-3 cost?

Cerebras WSE-3 has no published flat entry price. Free trial credits available; developer tier has free promotional credits.

What AI model does Cerebras WSE-3 use?

Cerebras WSE-3 runs primarily on Codex-Spark.

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Cerebras WSE-3

Name: Cerebras WSE-3
Author: Cerebras

Cerebras · #2 most active of 18 in Chips & Compute

Compare →

Single-wafer accelerators delivering the fastest published open-model token rates.

Trust score · Mostly verified

3 data points checked · 2026-11-02

Model stack: VerifiedEntry price: VerifiedVersion: DisputedHow this works →

Current version

CS-4

Entry cost

Free trial credits available; developer tier has free promotional credits.

Changes / 30d

The short answers · verified November 8, 2026

What is the latest version of Cerebras WSE-3?: The current shipped version of Cerebras WSE-3 is CS-4, as of November 8, 2026.
How much does Cerebras WSE-3 cost?: Cerebras WSE-3 has no published flat entry price. Free trial credits available; developer tier has free promotional credits.
What AI model does Cerebras WSE-3 use?: Cerebras WSE-3 runs primarily on Codex-Spark.

Source: Cerebras — www.cerebras.ai · Reusable under CC BY 4.0 — cite Tomorrow

Capabilities

wafer-scale engine
record token/s on open models
CS-3 systems
training clusters
Wafer-scale AI inference
Cerebras PyTorch
ModelZoo
Low-level SDK
OpenAI API compatibility
Disaggregated Inference
Wafer-Scale Engine (58x larger than GPUs)
15x faster than GPUs
Cerebras PyTorch & ModelZoo support
Ultra-fast token generation
Low-latency inference
Model fine-tuning and training services
Wafer-Scale Engine
Ultra-fast AI Inference
Model fine-tuning and training
Custom model weights support
PyTorch support
58x larger than GPUs
World's largest AI-optimized processor
Model training and fine-tuning
Ultra-fast AI inference
Wafer-Scale Engine AI hardware
AI model training and fine-tuning
Drop-in OpenAI API compatibility
Inference API
PyTorch Training
Model fine-tuning
AI training
AI inference
Low-latency programming
AI Inference
Model Fine-tuning
Model Training
OpenAI API Compatibility
Training
Fine-tuning
Training and fine-tuning services
Dedicated queue priority
Custom model weights
AI Hardware / Chip
AI Training & Fine-tuning
Wafer-scale hardware acceleration
LLM Inference API
Model training
SDK
Developer support
AI Training
PyTorch Support
AI Hardware Accelerator
Inference Cloud API
World-record speeds
AWS Marketplace Integration
OpenRouter Integration
HuggingFace Integration
Vercel Integration
Training services
Fastest AI inference
Developer API
AWS Marketplace integration
OpenRouter integration
HuggingFace integration
Vercel integration
AI Accelerator
AWS Marketplace
AI Inference API
Model training services
Low latency
Inference
HPC applications
Up to 30x faster than GPUs
Dedicated on-premise deployment
Pytorch Support
inference
training
fine-tuning
api-access
on-premise
Developer SDK
Low-latency queue priority
GPU-free Wafer-Scale Engine
OpenAI-compatible API
Fine-tuning and training services
Developer Tier Pricing
Enterprise SLA
Low latency inference
Dedicated support
Up to 30x faster inference than GPU
Pre-training
PyTorch SDK
Low-latency token generation
OpenAI API compatible
Custom kernels
On-Premise Deployment
Cloud API
LLM Inference
API Access
Low Latency
Dedicated On-Prem
Cloud Inference
API
Fast Inference
LLM Serving
Fine-Tuning
Inference Cloud
Low-latency Inference
PyTorch
AI Hardware
Wafer-scale engine
Deep Learning Training
High-throughput prefill
Custom kernels / SDK
API Compatibility
Low-latency
AI-optimized processor
API compatibility
Inference SDK
Dedicated On-Premise option
Drop-in OpenAI compatibility

Pricing

Developer Tier / Free Trial
One-time $5 promotional credit for development, evaluation, and experimentation
Free

Entry price over time

11 of 75 points reconstructed from Internet Archive captures (hollow dots) — dated by capture, not by when we first saw the page. View a capture

9/2/2025 · $150011/8/2026 · $0

Geek mode

Models under the hood

Codex-Spark
Cerebras
disclosed
Gemma
Google
inferred
Gemma-4-31B
Google
inferred
GLM-4.7
Zhipu
disclosed
GPT 5.6 Sol
OpenAI
disclosed
GPT-5.6-Sol-Ultrafast
OpenAI
disclosed
Kimi K2.6
Moonshot
disclosed
Kimi K3.1
Moonshot AI
disclosed
Llama
Meta
inferred
Llama / Qwen / GPT-OSS
open weights
disclosed
Qwen
Alibaba
inferred
QWEN 3.8 27B
Alibaba
disclosed
WSE-3
Cerebras
disclosed

Context window

—

Public API

yes

Multi-model routing

yes

Stack signals

PyTorch

Shared model stack

Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.

Llama+1 aliasMeta · 13 products
GPT-5.6 Sol+1 aliasOpenAI · 7 products
QwenAlibaba · 7 products
GLM-4.7Zhipu AI · 4 products
Gemma+1 aliasGoogle · 3 products
Kimi K2.6Moonshot · 3 products
Codex-SparkCerebras · 1 product
- Cerebras WSE-3
Gemma-4-31BGoogle · 1 product
- Cerebras WSE-3

green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.

Reported scale

Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.

No public usage figure on record for this product.

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Cost: Pricing is not published on the page. Available via EC2 instances/UltraServers.
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Open RISC-V AI hardware

Version: Blackhole
Cost: from $999/unit
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NVIDIA Blackwell

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GB200/B200 rack-scale AI systems

Version: GB200 NVL72
Cost: Pricing is not published (enterprise/quote-only)
Model: Blackwell

Groq LPU

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Deterministic low-latency inference

Version: GroqCloud API
Cost: Pricing not published on current page. Custom/usage rates apply.
Model: canopylabs/orpheus-arabic-saudi

AMD Instinct MI355X

AMD

High-memory GPU alternative

Version: MI355X
Cost: Enterprise hardware, pricing not published
Model: CDNA

Elsewhere on the same models

Products in other segments that name one of Cerebras WSE-3's models in their stack.

Fireworks AI

Low-latency serving for open models and custom fine-tunes.

Version: 2025
Cost: Per-token usage
Model: Llama

Kimi

Moonshot AIChina

Long-context assistant and agentic K-series models.

Version: K3.1 Pro
Cost: Pay-as-you-go API pricing based on token consumption (no monthly flat fee subscription plans published).
Model: Kimi K2.6

Ollama

Local model runner that made desktop inference trivial.

Version: 0.x
Cost: Free
Model: Gemma

pi-0.5

Physical Intelligence

Generalist robot policy

Version: 0.5
Cost: Open-source model weights available on GitHub; Pi API has a waitlist (pricing not published)
Model: gemma

Qwen-Image

AlibabaChina

Open-weight image generation and editing from the Qwen line.

Version: Qwen-Image
Cost: Open-source model available for free download and local inference.
Model: Qwen

Together AI

Open-model inference and fine-tuning at frontier speed.

Version: 2025
Cost: Per-token, from $0.06/M
Model: Llama

Change history

Nov 8, 2026first seencapability
New capabilities: Drop-in OpenAI compatibility
121 tracked122 tracked · +Drop-in OpenAI compatibility
source
Nov 7, 2026first seenversion
Cerebras WSE-3 moved to CS-4
WSE-3CS-4
source
Nov 7, 2026first seenmodel
Cerebras WSE-3 added Kimi K3.1 to its model stack
Codex-Spark, GLM-4.7, GPT 5.6 Sol, GPT-5.6-Sol-Ultrafast, Gemma, Gemma-4-31B, Kimi K2.6, Llama, Llama / Qwen / GPT-OSS, QWEN 3.8 27B, Qwen, WSE-3Codex-Spark, GLM-4.7, GPT 5.6 Sol, GPT-5.6-Sol-Ultrafast, Gemma, Gemma-4-31B, Kimi K2.6, Kimi K3.1, Llama, Llama / Qwen / GPT-OSS, QWEN 3.8 27B, Qwen, WSE-3
source
Nov 5, 2026first seenversion
Cerebras WSE-3 moved to WSE-3
CS-4WSE-3
source
Nov 4, 2026first seenversion
Cerebras WSE-3 moved to CS-4
WSE-3CS-4
source
Nov 2, 2026first seencapability
New capabilities: Inference SDK, Dedicated On-Premise option
119 tracked121 tracked · +Inference SDK, Dedicated On-Premise option
source
Nov 1, 2026first seencapability
New capabilities: API compatibility
118 tracked119 tracked · +API compatibility
source
Oct 31, 2026first seencapability
New capabilities: AI-optimized processor
117 tracked118 tracked · +AI-optimized processor
source
Oct 29, 2026first seenversion
Cerebras WSE-3 moved to WSE-3
CS-4WSE-3
source
Oct 28, 2026first seenversion
Cerebras WSE-3 moved to CS-4
CS-3CS-4
source
Oct 28, 2026first seencapability
New capabilities: Low-latency
116 tracked117 tracked · +Low-latency
source
Oct 26, 2026first seenversion
Cerebras WSE-3 moved to CS-3
WSE-3CS-3
source
Oct 25, 2026first seenversion
Cerebras WSE-3 moved to WSE-3
CS-4WSE-3
source
Oct 24, 2026first seenversion
Cerebras WSE-3 moved to CS-4
WSE-3CS-4
source
Oct 23, 2026first seenversion
Cerebras WSE-3 moved to WSE-3
CS-3WSE-3
source
Oct 22, 2026first seenversion
Cerebras WSE-3 moved to CS-3
WSE-3CS-3
source
Oct 20, 2026first seencapability
New capabilities: API Compatibility
115 tracked116 tracked · +API Compatibility
source
Oct 17, 2026first seenpricing
Entry price decreased to $0/mo
$0.01$0
source
Oct 15, 2026first seenpricing
Entry price increased to $0.01/mo
$0$0.01
source
Oct 13, 2026first seencapability
New capabilities: High-throughput prefill, Custom kernels / SDK
113 tracked115 tracked · +High-throughput prefill, Custom kernels / SDK
source
Oct 12, 2026first seencapability
New capabilities: AI Hardware, Wafer-scale engine, Deep Learning Training
110 tracked113 tracked · +AI Hardware, Wafer-scale engine, Deep Learning Training
source
Oct 11, 2026first seencapability
New capabilities: PyTorch
109 tracked110 tracked · +PyTorch
source
Oct 2, 2026first seencapability
New capabilities: Inference Cloud, Low-latency Inference
107 tracked109 tracked · +Inference Cloud, Low-latency Inference
source
Sep 29, 2026first seencapability
New capabilities: API, Fast Inference, LLM Serving
103 tracked107 tracked · +API, Fast Inference, LLM Serving, Fine-Tuning
source
Sep 27, 2026first seenversion
Cerebras WSE-3 moved to WSE-3
CS-4WSE-3
source
Sep 26, 2026first seenversion
Cerebras WSE-3 moved to CS-4
WSE-3CS-4
source
Sep 26, 2026first seencapability
New capabilities: Dedicated On-Prem, Cloud Inference
101 tracked103 tracked · +Dedicated On-Prem, Cloud Inference
source
Sep 25, 2026first seencapability
New capabilities: LLM Inference, API Access, Low Latency
98 tracked101 tracked · +LLM Inference, API Access, Low Latency
source
Sep 24, 2026first seenmodel
Cerebras WSE-3 added QWEN 3.8 27B to its model stack
Codex-Spark, GLM-4.7, GPT 5.6 Sol, GPT-5.6-Sol-Ultrafast, Gemma, Gemma-4-31B, Kimi K2.6, Llama, Llama / Qwen / GPT-OSS, Qwen, WSE-3Codex-Spark, GLM-4.7, GPT 5.6 Sol, GPT-5.6-Sol-Ultrafast, Gemma, Gemma-4-31B, Kimi K2.6, Llama, Llama / Qwen / GPT-OSS, QWEN 3.8 27B, Qwen, WSE-3
source
Sep 15, 2026first seencapability
New capabilities: On-Premise Deployment, Cloud API
96 tracked98 tracked · +On-Premise Deployment, Cloud API
source
Sep 14, 2026first seenpricing
Entry price decreased to $0/mo
$10$0
source
Sep 14, 2026first seencapability
New capabilities: OpenAI API compatible, Custom kernels
94 tracked96 tracked · +OpenAI API compatible, Custom kernels
source
Sep 12, 2026first seencapability
New capabilities: PyTorch SDK, Low-latency token generation
92 tracked94 tracked · +PyTorch SDK, Low-latency token generation
source
Sep 11, 2026first seencapability
New capabilities: Up to 30x faster inference than GPU, Pre-training
90 tracked92 tracked · +Up to 30x faster inference than GPU, Pre-training
source
Sep 10, 2026first seencapability
New capabilities: Low latency inference, Dedicated support
88 tracked90 tracked · +Low latency inference, Dedicated support
source
Sep 9, 2026first seencapability
New capabilities: Developer Tier Pricing, Enterprise SLA
86 tracked88 tracked · +Developer Tier Pricing, Enterprise SLA
source
Sep 8, 2026first seencapability
New capabilities: GPU-free Wafer-Scale Engine, OpenAI-compatible API, Fine-tuning and training services
83 tracked86 tracked · +GPU-free Wafer-Scale Engine, OpenAI-compatible API, Fine-tuning and training services
source
Sep 7, 2026first seencapability
New capabilities: Developer SDK, Low-latency queue priority
81 tracked83 tracked · +Developer SDK, Low-latency queue priority
source
Sep 6, 2026first seencapability
New capabilities: inference, training, fine-tuning
76 tracked81 tracked · +inference, training, fine-tuning, api-access, on-premise
source
Sep 5, 2026first seencapability
New capabilities: Pytorch Support
75 tracked76 tracked · +Pytorch Support
source

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Cerebras WSE-3 compared

Straight head-to-head pages against the busiest products in Chips & Compute.

Cerebras WSE-3 vs Google TPU Ironwood Cerebras WSE-3 vs AWS Trainium2 Cerebras WSE-3 vs Tenstorrent Blackhole Cerebras WSE-3 vs NVIDIA Blackwell Cerebras WSE-3 vs Groq LPU Cerebras WSE-3 vs AMD Instinct MI355X

How to cite this page

Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/cerebras

APA

Tomorrow. (2026). Cerebras WSE-3 — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-11-08, from https://tomorrow.aliensquad.ai/tools/cerebras

BibTeX

@misc{tomorrow-tools-cerebras,
  author       = {{Tomorrow}},
  title        = {Cerebras WSE-3 — version, pricing and model stack},
  year         = {2026},
  publisher    = {AlienSquad},
  howpublished = {\url{https://tomorrow.aliensquad.ai/tools/cerebras}},
  note         = {Accessed: 2026-11-08}
}