Teams running production LLM workloads who want open-model pricing, anyone fine-tuning, multi-provider router setups.
If you need the absolute frontier (GPT-5, Claude Opus 4.7) — those are first-party only. Stick with Anthropic/OpenAI direct.
What is Together AI?
Together AI runs the largest fleet of open-source LLM inference in the industry. They host 200+ models with OpenAI-compatible APIs, fine-tuning workflows, and dedicated GPU clusters. Series B raised $305M in early 2025 at a $3.3B valuation. Used by Salesforce, Zoom, and other production AI teams who want open-model economics without the ops burden.
Key features
Integrations
What people actually pay
No price data yet — be the first to share
No price data yet for Together AI. Help the community — share what you pay (anonymized).
OpenAI-class API, open-source weights, half the price
Together.ai serves Llama, Mixtral, Qwen, and DeepSeek at production latency through an OpenAI-compatible API at meaningfully lower cost than the frontier providers. The right pick for inference-heavy apps that don't need GPT-5 or Opus.
Together has quietly become a default for production inference on open-source models. The OpenAI-compatible API means you can swap from GPT-4o to Llama 3.1 70B with a base_url change, and the per-token pricing on 70B-class open models is 5-10x cheaper than frontier APIs. Performance is competitive with Fireworks and Groq for most workloads, and the dedicated endpoint option keeps cost predictable for high-volume apps.
The constraints are model-quality constraints, not Together-specific. Llama 3.1 70B and Mixtral 8x22B are very good for their cost — but they're not Claude Opus or GPT-5. Apps that need top-tier reasoning, agentic tool use, or long-context coherence still belong on frontier APIs. Together also doesn't differentiate strongly versus Fireworks AI; choose between them based on benchmarks for your specific model and pricing for your specific volume.
Buy Together for production apps using open-source models — chatbots, classification, summarization, anything where 70B-class quality is sufficient and per-token cost matters. Pair with frontier APIs for the highest-stakes calls in the same product. Skip if you're only consuming GPT/Claude — there's no win here over going direct.
Production inference workloads on Llama, Mixtral, Qwen, or DeepSeek — chatbots, classification, summarization at scale.
Frontier-only workflows or teams that don't care about open-source models — direct OpenAI/Anthropic is simpler.
Written by StackMatch Editorial. StackMatch editorial reviews are independent analyst commentary, not user reviews. We have no affiliate relationship with this tool. See user reviews below for community perspective.
User Reviews
Be the first to review this tool