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Together AI

Inference for open models — fast, affordable, with fine-tuning and GPUs.

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About

Together AI (2022) is the inference platform for open models: fast serverless endpoints (Llama, Qwen, DeepSeek), dedicated deployments, fine-tuning, and GPU clusters.

Commercial: usage-based (per-token); notably affordable for open models. The open-model cloud — for teams building on Llama/Qwen/DeepSeek without managing GPUs, Together is a top choice. Fine-tuning and LoRA support round out the platform. Valued at $3.3B (2025).

What it can do

  • • Fast open-model inference\n• 200+ models\n• Fine-tuning and LoRA\n• Dedicated endpoints\n• GPU clusters\n• OpenAI-compatible API

Setup

  1. Sign up at https://together.ai and get an API key.\n2. Use the OpenAI-compatible endpoint.\n3. Select from 200+ open models; configure dedicated endpoints for production.

Prerequisites

A Together AI account; credits.

Use cases

apillm-gatewayfine-tuninginferenceopen-models

Works with

Any agent (.md)Generic APIcustom

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier). The open-model inference leader with affordable pricing, fine-tuning, and a $3.3B valuation. Docked three points: (1) open-models only — no GPT/Claude; (2) closed platform; (3) competition from hyperscalers. For open-model production.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
4.5/10
Manual review · sanity read + red-flag check
8.0/10
  • · provider-tier estimate — thinner evidence (no public adoption metric)
  • · open-model inference leader; $3.3B valuation
  • · no release date — neutral maintenance score
  • · manual review: affordable; no GPT/Claude; license: proprietary — usage-based; open models only

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.