# Together: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/together
Website: https://docs.pipecat.ai

Together was named in 64 of 100 AI answers across 2 categories. Best position: Inference hosting, 90% answer share, ranked #2, named first in 38%.

## What Together is

Together AI provides access to language models through an OpenAI-compatible interface. It is for people and teams that need to use language models through that interface.

It hosts a variety of open-source models and supports streaming responses. It also supports function calling and context management.

(From Together's own website, read 2026-09-02.)

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Inference hosting (https://www.memetik.ai/index/inference-hosting) | #2 of 18 | 90% | 38% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro |
| LLM APIs (https://www.memetik.ai/index/llm-apis) | #10 of 15 | 38% | 0% | Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Sonar Reasoning Pro |

## What the models said

> "Start with Together AI if you just need a high-quality hosted open model API and want very little deployment work."
> — ChatGPT, Inference hosting

> "If your main goal is production inference with minimal ops, Together AI and Fireworks AI are the strongest alternatives to test first."
> — Perplexity, Inference hosting

> "Choose Fireworks AI, Together AI, or DeepInfra if latency, throughput, and open-source model serving matter more than provider diversity."
> — Claude, LLM APIs

> "For a high-volume, latency-sensitive LLM product, Together, Fireworks, or a dedicated deployment is usually a better fit."
> — GPT-5.6 Luna, Inference hosting