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Together Compute vs MAX Engine

Side-by-side comparison of features, pricing, and ratings

Together Compute
Together Compute

Full-stack AI-native cloud for inference, fine-tuning, and GPU compute.

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MAX Engine
MAX Engine

High-performance GenAI inference on any GPU

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Pricing
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Freemium
Plans
Pay-per-token (variable by model)
Contact for pricing (50% lower than serverless)
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$0
Pay per token/minute
Pay per minute
Popularity
4.6k views
6.8k views
Skill Level
Advanced
Advanced
API Available
Platforms
APIWebCLI
APICLI
Categories
⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Serverless inference for open-source models
Batch inference scaling to 30B tokens per model
Dedicated model inference on custom hardware
Dedicated container inference for generative media
GPU clusters from self-serve to thousands of GPUs
AI Factory custom infrastructure at frontier scale
Sandbox development environments for AI apps
Managed storage with zero egress fees
Fine-tuning open-source models with research techniques
Model shaping using your data
Evaluations to measure model quality
Together Kernel Collection for faster pre-training
FlashAttention-4 kernel for accelerated attention
Model library with MiniMax, Qwen, GLM, DeepSeek, Llama 4
OpenAI-compatible API for model serving
Deploy 500+ open-source models
Write custom GPU kernels with Mojo
Zero dependency on CUDA or ROCm
Smaller containers with faster cold starts
Benchmark tool adapted from vLLM
Gradient checkpointing support
PagedKV cache for memory efficiency
Quantization (bfloat16, float32)
Multi-node distributed inference
Model customization via PyTorch-like API
Hardware-agnostic (NVIDIA, AMD, Apple)
Mojo 1.0 Beta support
Support for MiniMax M3 open weights
Integrations
CodeSandbox SDK
Python
OpenAI-compatible API
GitHub
Hugging Face
Docker
Kubernetes
Prometheus
Grafana
AWS S3
Azure Blob
Google Cloud Storage