Tool profile
Open model platform for inference, fine-tuning, and GPU infrastructure that gives teams flexible access to frontier open models without building the whole serving stack themselves.
Open-model inference
Together AI belongs in the catalog because it sits in one of the most important layers in the open-model stack: the point where model access, serving economics, and infrastructure flexibility become practical buying decisions. The official product story spans serverless inference, dedicated inference, fine-tuning, and GPU clusters, which makes Together more than just another endpoint vendor. It is a platform choice for teams that want open-model power without owning the entire systems burden of self-hosting from scratch.
It also deserves inclusion because the pricing is impressively public across multiple usage modes. Together publishes model-level token pricing, dedicated inference options, and GPU cluster hourly rates. That makes it easier to compare than many AI infrastructure providers that keep real economics buried until late in the sales cycle. For a premium catalog, that transparency is especially valuable because it lets builders reason about cost, control, and scale together.
Quick fit
Editorial take
Together AI should be positioned as open-model infrastructure and serving economics, not merely as another chatbot destination. The best evaluations focus on model breadth, deployment flexibility, and whether the pricing structure matches the organization’s real usage profile.
What it does well
Primary use cases
Fit notes
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Pressure-test this pick against nearby alternatives.
Pricing snapshot
Together AI publicly publishes model-level token pricing for serverless inference, dedicated inference options, and GPU cluster hourly pricing, with larger configurations available through sales.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
