Monthly cost
$0+ / mo
Pay-per-token
Popularity
3/5
LLM knowledge
3/5
Difficulty
Easy
#ai-native#low-cost
What Together AI is good at
Strengths
- +Cheap OSS inference
- +Llama / Mixtral
- +Good throughput
Tradeoffs
- −Quality < frontier closed models
- −Fewer tools
Coding-agent prompt
Drop into Claude / Cursor to get idiomatic Together AI code.
You're working with Together AI. Hosted inference for open-source LLMs. Best practices: - Lean on: cheap oss inference - Lean on: llama / mixtral - Lean on: good throughput Things to watch for: - Watch out for: quality < frontier closed models - Watch out for: fewer tools General guidance: - Canonical docs: https://together.ai — check here before inventing APIs. - Keep secrets in environment variables, never commit them. - Write TypeScript where the ecosystem supports it; add types to every exported function. - Add tests for the critical paths before declaring the task done. - Read-the-docs is usually faster than guessing — cite the docs page in code comments when you apply a non-obvious pattern.
Beginner's guide to Together AI
In one line: Cheap hosted inference for open-source LLMs like Llama and Mixtral.
Together lets you call open-source LLMs through a standard API. Much cheaper than GPT-4 or Claude, with slightly lower quality depending on the task.
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