Home / Directory / AI infrastructure / Inference & model hosting / Together AI
Together AI
Inference and fine-tuning platform for open models, with hosted endpoints and dedicated deployments.
Teams serving open models who want a hosted endpoint now and a dedicated option later.
Buyers standardized on a single closed-model vendor API, or shops that must run every model in their own VPC from day one.
Verdict
Use Together when open-model inference is the job and you want someone else to run the serving stack at first. Compare latency and price on your actual prompts, not the flagship benchmark. Dedicated deployments matter once a model becomes a product dependency. Skip it if policy locks you to one frontier API, or if day-one requirement is a private deployment you already know how to operate.
Score Breakdown
How Together AI scores on the jobs buyers hire it for, and on the company and commercial side of the deal.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Hosted open-model inference | Strong | The main reason to start here. |
| Dedicated or reserved serving | Strong | The grown-up path once volume lands. |
| Closed-model only stack | Poor | Wrong catalog. |
| Full private cloud build | Mixed | Possible later; not the first-week product. |
Who it’s for
Good fit
- Product teams serving open models via API
- Groups comparing hosts on real prompt mixes
- Fine-tune users who also need inference
Poor fit
- Single-vendor closed-model shops
- Air-gapped environments on day one
- Buyers who will not benchmark their own traffic
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“I’ve mostly settled on using a mixture of open weights models through Together.ai and Fireworks.ai, a MiniMax subscription for high-token-use tasks that don’t need the best model (for $20 I get what feels like infinite tokens), and codex for the occasional high complexity task, although with Kimi K3 and hopefully soon GLM 5.3, it’s becoming increasingly less important.”
“just tested (zai-org/GLM-5.3-Flash via together.ai) against latest DeepSeek-V4-Flash for a very specific task and thought i'd report here... - price: DS4 wins... $0.0235 vs $0.0242 for ten tasks - latency: GLM wins... 108s total against 154s this is for a personal use-case where i'm detecting ads in a written transcript. sticking with ds4-flash for now since latency is not a critical factor”
“Together serves models optimized for inference speed. They're not Groq but Together (and Perplexity Labs) have the lowest latencies and fastest tokens per second of any commercial services available right now. Also the lowest prices afaik.”
“Not to discredit you, because you are 100% correct but tangential note about together.ai, they seem fairly unreliable with constant outages or higher than normal latency.”
Methodology
This page is an independent evaluation of Together AI for buyers comparing options in inference & model hosting. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Together AI did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for inference & model hosting)
- Open-model endpoints
- Dedicated deployment path
- Fine-tune support
- Price and latency fit
- Company & commercial
- Innovation &
- product leadership
- Project management &
- communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Together AI is graded here as inference & model hosting. Criteria scores can move as more review volume and product checks are added.