Alternatives · 2026
Alternatives to Together AI
Cloud platform for inference and fine-tuning open models.
5 hand-curated alternatives from MintedSaaS's directory. See the Together AI listing →
Together AI is a cloud platform for running inference and fine-tuning on open models like Llama 2, Mistral, and other weights from Hugging Face. It targets teams that want API-level access to these models without hosting their own infrastructure, or that need to customize models through fine-tuning. Together occupies the middle ground between managed services (like OpenAI's API) and self-hosted deployments — you get model flexibility and the ability to own your fine-tuned weights, but you're not managing servers yourself.
Teams typically use Together AI when they need sub-second latencies, can't afford egress costs from running models locally, or want to experiment with multiple model families before committing to one. Engineering teams doing LLM applications, AI research labs exploring fine-tuning workflows, and companies building their own inference infrastructure for cost control all reach for it. The workflow usually involves uploading training data, kicking off a fine-tune job, then hitting the resulting model endpoint with inference requests.
What we offer that competes
Hugging Face
Hub for open-source models, datasets, and ML libraries.
Groq
Inference cloud delivering very low-latency LLM responses.
Replicate
Run and fine-tune open-source models via a simple API.
What to look for
- Whether the platform supports fine-tuning on proprietary or custom data to create models you own
- Whether pricing includes inbound data transfers or charges for data ingestion during fine-tuning jobs
- Whether you can export fine-tuned model weights and run them elsewhere, or they're locked to the platform
- Whether the platform offers per-token pricing or requires you to reserve capacity in advance
- Whether you can specify hardware (GPU type, memory) for your inference workload or are limited to default configurations
- Whether the platform provides API rate limits, concurrency controls, and autoscaling behavior in documentation before signup
FAQ
What are the best alternatives to Together AI?
Modal, Hugging Face, Groq, Replicate, and OpenRouter all offer inference for open models. Modal and Replicate compete directly on ease of deployment; Groq focuses on speed for specific models; OpenRouter is a router layer across many providers; Hugging Face Inference API is lighter-weight but lacks fine-tuning.
Can I fine-tune models on these alternatives?
Fine-tuning support varies significantly. Together AI includes fine-tuning in its core offering. Hugging Face offers it through AutoTrain and the API. Modal and Replicate can run fine-tuning jobs but require custom code. Groq and OpenRouter do not offer fine-tuning; they're inference-only.
Are there free alternatives to Together AI?
Hugging Face Inference API has a free tier with rate limits. Modal includes free monthly compute credits. Replicate and OpenRouter offer pay-as-you-go pricing with low minimums. Groq's free tier exists but is time-limited. None match Together's fine-tuning capability at zero cost.
Which platform should I use if I want to keep my fine-tuned models?
Together AI, Hugging Face, and Modal all let you retain ownership of fine-tuned weights. Replicate stores them on its infrastructure but gives you downloadable access. Groq and OpenRouter are inference routers and don't support fine-tuning at all.
Do I need to write code to deploy a model on these platforms?
Yes, all five require at minimum a Python script or API call to start inference. Modal and Replicate have lower setup friction if you're comfortable with Docker. Hugging Face Inference API has the shortest onboarding if you're using an existing model. Together and Groq expect API-first integration.
Which alternative has the lowest latency for inference?
Groq is purpose-built for low-latency inference and typically delivers 2-4x faster inference than GPU clouds, but only for the specific models it supports. Together, Modal, and Replicate use standard GPUs and have similar latencies. OpenRouter depends on its backend provider.