Celedog vs Together AI: Key Differences (2026)

Together AI runs its own infrastructure for hosted open-source models with fine-tuning. Celedog is a gateway in front of every provider, including proprietary ones. Different problems, different tools.

Together AI and Celedog both give you access to many AI models, but they solve fundamentally different problems. Together AI is dedicated inference infrastructure for open-source models with fine-tuning; Celedog is a multi-provider gateway that fronts every provider — open and proprietary — behind one OpenAI-compatible API and one wallet.

Different problems, different tools

Together AI runs its own GPU fleet and hosts open-weight models (Llama, Qwen, DeepSeek, Mixtral and friends) with strong throughput and the ability to fine-tune and deploy your own checkpoints. If your workload is "serve open-source models at scale, possibly fine-tuned," that is exactly what they are built for.

Celedog does not own inference hardware. It is a gateway: it routes your request to the best provider for the model you asked for — including proprietary models like GPT, Claude and Gemini that Together cannot host — normalises the response, and bills it all to one balance.

Coverage

This is the clearest split. Need Claude Opus, GPT-5 or Gemini in the same app as DeepSeek and Llama? Only a gateway like Celedog can do that, because the proprietary models are not open-weight and cannot be hosted by an inference provider. Together's catalogue is open-weight models; Celedog's catalogue is everything, proprietary and open alike.

Billing and currency

Together bills in USD against its own platform. Celedog keeps a multi-currency wallet (USD / CNY / IDR) and accepts local payment rails — WeChat Pay, Alipay and Indonesian methods — which matters enormously for teams in China and Southeast Asia who cannot easily pay a USD-only US vendor.

Fine-tuning

If you need to fine-tune an open model and serve the result, Together is the stronger primitive — that is their core product. Celedog focuses on routing and billing across providers, not on training. Many teams use both: Together (or a dedicated host) for a fine-tuned open model, and Celedog as the front door that unifies that endpoint with the proprietary models the rest of the app calls.

DimensionCeledogTogether AI
Proprietary models (GPT / Claude / Gemini)YesNo
Open-weight models at scaleVia providersFirst-party
Fine-tuning / custom deploysNoYes
Multi-currency & local paymentsYesNo
One OpenAI-compatible APIYesYes
Pick Together to host and fine-tune open models. Pick Celedog to call every model — open and closed — behind one API with local billing. They are complements as often as alternatives.

Written by · Last updated May 28, 2026

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