Tinfoil vs Together AI
A side-by-side comparison of Tinfoil and Together AI, two Inference tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Tinfoil | Together AI |
|---|---|---|
| Category | Inference | Inference |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Tinfoil | Together |
| Capabilities (differs) |
|
|
The honest brief
Tinfoil
Hardware-enforced privacy: inference runs in attestable GPU enclaves so neither Tinfoil nor the cloud can see your data — verifiable, not just a promise.
- Hardware-enforced, verifiable privacy
- Open-source, attestable stack
- OpenAI-compatible API
- Free private chat to try
- Runs popular open-weight models
- Open-weight models only, no GPT-4/Claude
- Smaller model selection than big clouds
- Enclave approach adds some overhead
Together AI
One stop for the open-model stack: hundreds of open-weights models served plus both LoRA and full fine-tuning.
- LoRA and full fine-tuning
- Competitive inference-at-scale pricing
- OpenAI-compatible API
- Dedicated endpoints + GPU clusters
- Open models only, no frontier closed models
- Less specialized than single-model hosts
- Throughput varies by model demand
When to pick which
Both cover Model inference / serving and Multi-model access.
Pick Tinfoil if you need App / agent deployment.
- App / agent deployment (secondary capability)
Pick Together AI if you need Fine-tuning / training and GPU compute.
- Fine-tuning / training (primary capability)
- GPU compute (secondary capability)
They also differ on:
- License
- Open core · Proprietary
- Platforms
- Web, API · API