Fine-tuning Pricing Comparison
21 providers compared by pricing model, free tiers, hosting options, and headquarters. Last updated May 2026.
15 with free tiers ยท 7 open source ยท 2 self-hostable ยท 2 European
| Provider | Pricing Model | Starting Price | Free Tier | Hosting | Open Source | HQ |
|---|---|---|---|---|---|---|
| Pay-per-use | Pay-per-token | ✓ | Cloud | — | ๐บ๐ธ United States | |
| — | — | — | — | — | ๐บ๐ธ United States | |
| — | — | — | — | ✓ | ๐บ๐ธ United States | |
| Pay-per-use | $0.02/megapixel | ✓ | Cloud | — | ๐บ๐ธ United States | |
| — | — | — | — | — | ๐บ๐ธ United States | |
| Pay-per-use | $0.033/hr (CPU) | ✓ | Cloud | ✓ | ๐บ๐ธ United States | |
| — | — | ✓ | — | — | ๐บ๐ธ United States | |
| — | — | ✓ | — | — | ๐บ๐ธ United States | |
| Freemium | $39/seat/mo | ✓ | Cloud + Self-hosted | — | ๐บ๐ธ United States | |
| — | — | ✓ | — | ✓ | ๐บ๐ธ United States | |
| — | — | — | — | ✓ | ๐บ๐ธ United States | |
| Pay-per-use | $30/mo free credits | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | — | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | $0.05/1M tokens | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | $0.91/hr (L4 GPU) | ✓ | Cloud | — | ๐ซ๐ท France | |
| Freemium | Free | ✓ | — | — | ๐จ๐ญ Switzerland | |
| Pay-per-use | Per-second GPU billing | — | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | Pay-per-token | — | Cloud + Self-hosted | — | ๐บ๐ธ United States | |
| — | — | ✓ | — | ✓ | ๐บ๐ธ United States | |
|
T
TRL
|
— | — | ✓ | — | ✓ | ๐บ๐ธ United States |
| — | — | ✓ | — | ✓ | ๐บ๐ธ United States |
Providers with free tiers
These fine-tuning providers offer free credits, free tiers, or open-source self-hosting options to get started without upfront costs.
Managed API access to foundation models on AWS with built-in fine-tuning and ...
From: Pay-per-token
Build the next generation of creativity with fal. Lightning fast inference.
From: $0.02/megapixel
The open-source AI platform with 500K+ models, inference endpoints, and fine-...
From: $0.033/hr (CPU)
Collaborate on prompts, evaluate, and optimize LLM-powered Apps with Klu.
Enterprise LLM fine-tuning platform with Memory Tuning for near-zero hallucin...
LangSmith is a unified DevOps platform for developing, collaborating, testing...
From: $39/seat/mo
Show all 15 providers with free tiers
Open-source fine-tuning framework for 100+ LLMs with a web UI
Run generative AI models, large-scale batch jobs, job queues, and much more.
From: $30/mo free credits
Access, finetune, deploy LLMs using our affordable and scalable APIs.
European cloud provider with AI inference, training, and deployment services
From: $0.91/hr (L4 GPU)
PyTorch-native library for fine-tuning LLMs on consumer and enterprise GPUs
Hugging Face library for training language models with RLHF, SFT, and DPO
Fine-tune LLMs up to 30x faster with 90% less memory usage
Frequently asked questions
Which fine-tuning offer a free tier?
15 of the 21 fine-tuning listed offer a free tier or free credits. Examples: Amazon Bedrock, fal, Hugging Face, Klu, Lamini. Use the "Free tier" filter above to see the full list.
Which fine-tuning are open source?
7 open-source options are listed. Examples: Axolotl, Hugging Face, LLaMA-Factory, Ludwig, torchtune. Most can be self-hosted alongside or instead of any managed offering.
Are there European fine-tuning?
Yes. 2 providers in this category are headquartered in Europe, including OVHcloud AI, Prem AI. The European providers page has the full cross-category list with hosting regions.
Which fine-tuning can be self-hosted?
2 of the 21 listed support self-hosting, either as the primary deployment model or alongside a managed cloud offering. Examples: LangSmith, together.ai.
How to choose an inference API provider
The right provider depends on workload type, latency requirements, and budget. Most providers use pay-per-token pricing for LLMs and per-second GPU billing for custom models. Token-based pricing varies by model, so the cheapest provider for one model may not be cheapest for another.
Free tiers are useful for prototyping but often come with rate limits. For production, compare per-token costs for your specific model, cold start latency, rate limits, and whether the provider supports the models you need.
Teams with data residency requirements should check hosting options and provider headquarters. European providers like OVHcloud AI, Prem AI keep data within EU jurisdiction. See the full European AI Infrastructure directory. Self-hostable options like LangSmith and together.ai give full control over data location.
For a deeper analysis, read AI Inference API Providers Compared on the blog. Pricing changes frequently, so verify current rates on each provider's website. Submit a correction.
Browse all Fine-tuning tools or explore the full AI Infrastructure Landscape.
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