LLM APIs
Together AI
TypeScriptPythonRESTPaidOpen-source models
Cloud platform for running open-source AI models at scale. Together AI hosts 100+ models including Llama, Mistral, and FLUX with fast inference and OpenAI-compatible API.
License
Proprietary
Language
TypeScript / Python
54
Trust
Limited
Why Together AI?
You want to run open-source models without GPU infra
Fine-tuning on your own data
OpenAI-compatible drop-in with lower cost
Signal Breakdown
What drives the Trust Score
npm downloads
150k / wk
Commits (90d)
60 commits
GitHub stars
5k ★
Stack Overflow
1k q's
Community
Growing
Weighted Trust Score54 / 100
Download Trend
Last 12 months
Tradeoffs & Caveats
Know before you commitYou need proprietary frontier models (GPT-4, Claude)
You want managed model hosting with SLAs
Simplest possible setup is the priority
Pricing
Free tier & paid plans
Free tier
Free $25 credit on signup
Paid
From $0.10/1M tokens (Llama 3.1 8B)
Cheapest way to run open-source frontier models
Alternative Tools
Other options worth considering
OpenAI API87Strong
The most widely used LLM API. Powers GPT-4o and o1 models with best-in-class reasoning, vision, and structured outputs. Largest ecosystem of tutorials, integrations, and community support.
Groq API63Fair
The fastest LLM inference API available. Groq's LPU hardware delivers 10-20x faster token generation than GPU-based providers, making it ideal for latency-sensitive applications.
Often Used Together
Complementary tools that pair well with Together AI
Learning Resources
Docs, videos, tutorials, and courses
Get Started
Repository and installation options
View on GitHub
github.com/togethercomputer/together-python
npm
npm install together-aipip
pip install togetherQuick Start
Copy and adapt to get going fast
import Together from 'together-ai';
const client = new Together({ apiKey: process.env.TOGETHER_API_KEY });
const response = await client.chat.completions.create({
model: 'meta-llama/Llama-3.3-70B-Instruct-Turbo',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0].message.content);Code Examples
Common usage patterns
Image generation
Generate images with FLUX
const response = await client.images.create({
model: 'black-forest-labs/FLUX.1-schnell',
prompt: 'A futuristic city at night',
n: 1,
width: 1024,
height: 1024,
});Fine-tuning
Fine-tune a model on your data
const job = await client.fineTuning.create({
model: 'meta-llama/Meta-Llama-3.1-8B-Instruct-Reference',
training_file: 'file-abc123',
n_epochs: 3,
});Community Notes
Real experiences from developers who've used this tool