Together AI

Featured✓ Editorially verified

Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).

Paid· Pay-per-token; fine-tuning per-tokenFine-tuningLlama / Mistral / Qwen / DeepSeek and others8.6 / 10

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Best for

Pick Together when you want open-weight FT + serving in one platform with sensible per-token pricing.

Skip if

Skip it if you need the polish of OpenAI's developer experience or single-vendor support across closed + open.

Together AI hosts and fine-tunes open-weight models at competitive rates. The catalogue is broad — Llama 3.x, Mistral, Qwen, DeepSeek, and many others — and fine-tuning + inference both happen on the same platform, which makes the operational story simpler than gluing together Modal + a separate inference provider.

For teams that want the cost and customisation advantages of open weights without operating GPU infrastructure themselves, Together is the natural pick. The dedicated inference endpoints scale up for production workloads with predictable per-token pricing.

Latency and throughput vary by model and tier; the serverless tier has cold-start characteristics worth measuring for your workload. The product polish is a step behind OpenAI's API surface — clean enough, but less of a one-stop developer experience.

Editor's take

Together is the cleanest commercial answer to "I want open-weight models with closed-weight ergonomics." The catalogue width and the FT + serve integration make it the default for serious open-model production.

— The AI Tool Bible editorial team