Hosted inference and fine-tuning across hundreds of open-weights models (Llama, Mistral, DeepSeek, Qwen, etc.). Strong pricing for inference-at-scale; LoRA + full fine-tuning supported.
Fine-tuning · Together
Together AI
Fine-tuning + inference for open-weights models. Broad coverage.
FREEMIUMAPIVetted
Model support
Multi-model
- Llama
- Mistral
- DeepSeek
- Qwen
Where it runs
- API
Tags
- #inference
- #fine-tuning
- #open-weights
- #lora
Related in Fine-tuning
View Fireworks AI details Fine-tuningFREEMIUMFireworks AI
Fireworks AI
Fast inference + fine-tuning. Production deployments at scale.
Optimized inference platform for open-weights models with strong latency numbers and serverless + dedicated deployment options. Fine-tuning supported; vision and audio models alongside text.
- inference
- fine-tuning
- low-latency
- production
View Modal details Fine-tuningFREEMIUMModal
Modal Labs
Serverless GPUs. Run training, inference, batch jobs from Python.
Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.
- gpu
- serverless
- python
- training
View OpenPipe details Fine-tuningFREEMIUMOpenPipe
OpenPipe
Replace frontier-model spend with a fine-tuned small model.
Captures your production OpenAI / Anthropic calls, builds a dataset, fine-tunes a small open-weights model on your traffic, then serves the swap behind your existing SDK. The pitch: 10x cost reduction at parity.
- fine-tuning
- cost-reduction
- drop-in
- open-weights