Capability · Framework — orchestration

Together AI SDK

Together AI runs one of the largest open-model inference services, hosting 200+ chat, embedding, and image models on a low-latency GPU fleet. Its SDKs follow the OpenAI interface closely, so you can point existing code at `https://api.together.xyz/v1` and get access to Llama 4, DeepSeek, Mixtral, Qwen3, and fine-tunes from the Hugging Face Hub. The same platform also handles dedicated endpoints, fine-tuning, and batch inference.

Framework facts

Category: orchestration
Language: Python / TypeScript
License: Apache-2.0 (SDK) / Proprietary SaaS
Repository: https://github.com/togethercomputer/together-python

Install

pip install together
# or
npm install together-ai

Quickstart

from together import Together
client = Together(api_key='TOGETHER_KEY')
resp = client.chat.completions.create(
    model='meta-llama/Llama-3.3-70B-Instruct-Turbo',
    messages=[{'role':'user','content':'hi'}],
)
print(resp.choices[0].message.content)

Alternatives

Fireworks AI — similar pitch
Groq — fast inference
OpenRouter — multi-provider router

Frequently asked questions

Together AI or Fireworks AI?

Both are solid for hosted open-model inference. Together tends to have a larger catalogue and stronger fine-tuning UX; Fireworks often has lower latency and aggressive pricing on popular models. Pick based on benchmarks on your workload.

Does Together support fine-tuning?

Yes — LoRA and full fine-tuning for Llama, Mistral, and Qwen families. See our Together Fine-Tuning page.

Sources

Together AI docs — accessed 2026-04-20
Together Python SDK — accessed 2026-04-20