DeepInfra vs Together AI
A side-by-side comparison of DeepInfra and Together AI, two Inference tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | DeepInfra | Together AI |
|---|---|---|
| Category | Inference | Inference |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | API, Web | API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | DeepInfra | Together |
| Capabilities (differs) |
|
|
The honest brief
DeepInfra
Among the lowest per-token prices of the hosted-inference providers, with optional dedicated GPU clusters from roughly $2/GPU-hour.
- 100+ models behind one OpenAI-compatible API
- Dedicated GPU clusters (DeepCluster) available
- SOC 2 / ISO 27001, zero data retention
- No hardware to manage
- Pay-as-you-go only, no free tier
- Skews toward open models
- Not a fine-tuning-first platform
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
DeepInfra leans on Multi-model access as a headline capability; Together AI treats it as secondary.
- Multi-model access (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- Platforms
- API, Web · API
Their capability lists differ in recorded depth — compare the full lists above before deciding.