Stack
Together AI
An inference platform hosting 200+ open models behind one API, with fine-tuning and dedicated GPUs for scaling.
What it actually does
Together AI serves 200+ open models (DeepSeek, Qwen, Kimi, Llama, and others) through one API, often the day they release. Serverless per-token pricing runs $0.17-$1.74 input depending on model, and the platform adds fine-tuning and dedicated GPU endpoints when you outgrow serverless.
The value is breadth and a scaling path, not the lowest per-token price. Fine-tuning starts at $0.48 per 1M training tokens to own a small custom model, and you can move from serverless tokens to dedicated endpoints and H100 GPUs at $3.99/hr as you grow.
There is no real free tier: the $25 signup credit was retired in 2025, leaving a fully prepaid platform with a $5 minimum top-up. Serverless rates often run above rivals for the same open models, for example Llama 3.3 70B at $1.04/$1.04 here versus $0.59/$0.79 on Groq.
Together AI vs its main rivals
The tools people actually weigh against Together AI: Fireworks AI, Groq, Replicate. Same criteria for every column, including where Together AI loses.
| Together AI | FFireworks AI |  Replicate | ||
|---|---|---|---|---|
Pricing & access | ||||
| Free tier | No$5 min, no credits | YesSignup credits | YesNo-card free tier | NoPay-as-you-go |
| Starting price | $0.17 /1M in | ~$0.10 /1M in | $0.05 /1M in | Per-run / per-sec |
Models & capability | ||||
| Number of models | 200+ | 100s | Curated (dozens) | 1000s (community) |
| Fine-tuning | Yes$0.48/1M train | YesYes | NoNo | YesYes |
| Frontier closed models | NoOpen only | NoOpen only | NoOpen only | NoOpen only |
| New models day-one | YesYes | YesYes | NoSelective | YesCommunity |
Scaling & limits | ||||
| Per-token price vs rivals | Higher | Lower | Lowest | Varies |
| Dedicated GPUs on demand | H100 $3.99/hr | Yes | Enterprise | Yes |
| Prompt caching discount | YesYes | YesYes | Yes50% off | UnknownUnknown |
Developer & API | ||||
| REST API access | Paid | Free | Free | Paid |
| OpenAI-compatible endpoint | YesYes | YesYes | YesYes | NoOwn API |
- 200+ open models behind one API, including DeepSeek, Qwen, Kimi, and Llama the day they drop
- Fine-tuning from $0.48 per 1M training tokens lets you own a small custom model cheaply
- Clear upgrade path from serverless tokens to dedicated endpoints and H100 GPUs at $3.99/hr
- Per-token rates run above rivals for the same open models (Llama 3.3 70B is $1.04/$1.04 vs $0.59/$0.79 on Groq)
- No real free tier and a $5 minimum purchase, worse for testing than Groq or Gemini
- Provisioned throughput bills per PTU-minute even when idle
Pay less for it
5 ways foundServerless rates start at $0.17/$0.25 on the cheapest supported open models
A small custom model from $0.48/1M training tokens can shrink per-request token counts
Batch endpoints discount non-urgent jobs
H100 GPUs at $3.99/hr can beat per-token pricing at high, steady volume
Groq — Hosts many of the same open models at meaningfully lower per-token prices plus a no-card free tier, if you do not need Together's fine-tuning or 200+ catalog
StackTracker tracks what you actually pay for Together AI and every other tool, flags overpayment, and shows the dollars you would save by switching.
Is it the right tool for you
- You need many open models plus fine-tuning under one roof
- You expect to scale from serverless to dedicated capacity
- You want new open models available on day one
- You want the lowest per-token price on common open models → use Groq or Fireworks AI
- You just want a free tier to test → use Groq or Google Gemini
Track what Together AI and the rest of your stack cost
StackTracker adds up every subscription, plus your hours, so you see the real number.
Prices and limits last verified 2026-07-20.