---
title: Together AI
slug: together-ai
url: "https://toolweight.com/options/together-ai"
homepage: "https://www.together.ai"
categories: llm-apis
last_verified: 2026-01-15
license: CC-BY-4.0
---

# Together AI

> Serverless and dedicated hosting for open-weight models

Together runs open-weight models at scale, serverless endpoints for two hundred-plus models, dedicated GPU instances when you need isolation, plus fine-tuning. The value is a Western contract and a US region in front of models whose origin API you may not want to call, with a per-model price list rather than a single flagship rate.

## Identity

|  |  |
| --- | --- |
| Name | Together AI |
| Company | Together AI |
| One-liner | Serverless and dedicated hosting for open-weight models |
| Site | https://www.together.ai |
| Docs | https://docs.together.ai |
| Founded | 2022 |
| Funding | Late-stage private |
| Open source | No |
| Brand | https://toolweight.com/vendors/Together AI |
| Compared in | 1 |

## Where it is compared

### [LLM APIs](https://toolweight.com/compare/llm-apis)
Ranked **#8 of 18** on default weights.
| Field | Value | Confidence | Verified | Source | Note |
| --- | --- | --- | --- | --- | --- |
| Flagship model | Open-weight catalogue, DeepSeek-V3.x, Kimi K2, Qwen3, Llama 4 | Vendor-claimed | 2026-01-15 | https://docs.together.ai/docs/serverless-models | Priced per model by size class rather than as a single flagship rate. |
| Context window | - | Unknown | - | - | Per-model. |
| Max output | - | Unknown | - | - | Per-model. |
| Image input | ◐ | Inferred | 2026-01-15 | - | - |
| Audio in/out | ◐ | Inferred | 2026-01-15 | - | - |
| Open weights | ● | Inferred | 2026-01-15 | - | Serves only open-weight models, so anything you build on here can be lifted onto your own hardware. |
| OpenAI-compat API | ● | Vendor-claimed | 2026-01-15 | https://docs.together.ai/docs/openai-api-compatibility | - |
| TTFT p50 | - | Unknown | - | - | - |
| Output tok/s | - | Unknown | - | - | - |
| $/M input | - | Unknown | - | - | Per-model tiers roughly tracking parameter count; sub-$1/M for 70B-class models, low single digits for the largest MoE models. |
| $/M output | - | Unknown | - | - | - |
| $/M cache read | - | Unknown | - | - | - |
| Batch discount | 50 % | Inferred | 2026-01-15 | - | A discounted batch endpoint is offered for supported models. |
| Tool use | ◐ | Inferred | 2026-01-15 | - | - |
| Schema output | ● | Inferred | 2026-01-15 | - | JSON-schema constrained decoding is supported on most served models. |
| Effort control | ○ | Inferred | 2026-01-15 | - | - |
| Computer use | ○ | Inferred | 2026-01-15 | - | - |
| MCP support | ○ | Inferred | 2026-01-15 | - | - |
| Cache TTL | - | Unknown | - | - | - |
| Continuity policy | Serverless models are rotated off when demand drops, typically with a deprecations page and short notice measured in weeks. Because everything served is open-weight, the mitigation is always available: move to a dedicated endpoint on the same platform, to another host, or onto your own GPUs with the same checkpoint. | Inferred | 2026-01-15 | - | - |
| Notice period | - | Unknown | - | - | Deprecations are published but the notice window is short and not contractually fixed. |
| Pinnable versions | ● | Inferred | 2026-01-15 | - | - |
| Zero retention | - | Unknown | - | - | Prompts are widely understood not to be retained on the paid API by default, and dedicated endpoints isolate further, but this column's bar is exclusion from all storage including abuse-monitoring logs, and no contractual zero-retention programme was located to support a yes. Regraded from an unevidenced yes: the honest answer is that we have not checked, not that the answer is favourable. |
| Trains on your data | ○ | Inferred | 2026-01-15 | - | - |
| AU region | ○ | Inferred | 2026-01-15 | - | - |
| API since | 2023 | Inferred | - | - | - |
| Positioning | Open-weight models with a Western contract and dedicated capacity | Inferred | - | - | - |

**Verdict.** The pragmatic way to use Chinese open-weight models without sending data to a Chinese endpoint: same weights, US infrastructure, a contract your legal team recognises. The dedicated-endpoint path is the real differentiator once you have steady load, predictable latency and no noisy neighbours.

## Alternatives

- [Qwen](https://toolweight.com/options/alibaba-qwen), Alibaba's model family, huge open-weight range, closed flagship
- [Amazon Bedrock](https://toolweight.com/options/amazon-bedrock), Multi-vendor model access inside your existing AWS account
- [Anthropic](https://toolweight.com/options/anthropic), Claude models, built around long agentic runs and tool use
- [Cerebras](https://toolweight.com/options/cerebras), Wafer-scale inference, the fastest tokens per second available
- [Cohere](https://toolweight.com/options/cohere), Enterprise-focused models built for RAG and private deployment
- [DeepSeek](https://toolweight.com/options/deepseek), Frontier-adjacent models at a small fraction of Western prices
- [Fireworks AI](https://toolweight.com/options/fireworks-ai), Fast open-weight inference with strong structured-output support
- [Google Gemini](https://toolweight.com/options/google-gemini), Gemini via AI Studio for prototyping or Vertex AI for production
- [Groq](https://toolweight.com/options/groq), Custom LPU silicon serving open-weight models at extreme speed
- [Meta Llama](https://toolweight.com/options/meta-llama), Open-weight Llama models, hosted almost everywhere but Meta
- [Mistral AI](https://toolweight.com/options/mistral-ai), European lab with an open-weight lineage and EU-resident hosting
- [Moonshot AI](https://toolweight.com/options/moonshot-ai), Kimi models, open-weight agentic performance at low cost

## Licence and attribution

Data from toolweight (https://toolweight.com), licensed CC-BY-4.0.

- Licence: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
- Canonical HTML: https://toolweight.com/options/together-ai
- Machine-readable: https://toolweight.com/options/together-ai.md · https://toolweight.com/api/v1 · https://toolweight.com/mcp
- toolweight takes no affiliate revenue and sells no placements. Corrections: https://toolweight.com/suggest