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Cerebras vs MAX Engine
Side-by-side comparison of features, pricing, and ratings
Pricing
Paid
Freemium
Plans
$0
Usage-based (starting at $10)
Custom
$50/mo (sold out)
$200/mo (sold out)
$0
Pay per token/minute
Pay per minute
Popularity
5.3k views
6.8k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
APICLI
Categories
💻 Code & Development
💻 Code & Development🔬 Research & Education⚡ Productivity
Features
Wafer-Scale Engine (58x larger than GPUs)
Up to 15x faster inference than GPU clouds
Drop-in OpenAI API compatibility
Setup in less than 30 seconds
Supports open models (GLM, Qwen, Llama, etc.)
Cloud, dedicated, and on-prem deployment options
Real-time code completion and debugging
Multi-step agent execution without stalls
Complex reasoning in under a second
Instant voice response with ultra-low latency
Unified platform for training, fine-tuning, and serving
Enterprise-grade security and reliability
OpenAI-compatible serving endpoint for GenAI models
PyTorch-like Python API for custom model building
Mojo language for portable GPU kernel optimization
GPU-agnostic execution (NVIDIA, AMD, Apple Silicon)
Zero dependency on PyTorch, CUDA, or ROCm
Smaller container sizes and faster cold starts
Open-source model library with 500+ models
Benchmarking tool (max benchmark) with ShareGPT support
Distributed large-scale online inference endpoints
Deploy on Modular Cloud or your own VPC
Kernel-level model control
Support for multiple encoding formats (FP32, BF16, FP4)
Paged KV cache for efficient memory management
Custom weights converter framework for safetensors/GGUF
Enterprise-grade reliability and ROI optimization