Fine-tuning Pricing Comparison
20 providers compared by pricing model, free tiers, hosting options, and headquarters. Last updated September 2026.
14 with free tiers ยท 7 open source ยท 9 self-hostable ยท 3 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 | |
| Free | Free (open source) | ✓ | Self-hosted | ✓ | ๐บ๐ธ United States | |
| Freemium | Free tier, then $50/month | — | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | $0.033/hr (CPU) | ✓ | Cloud | ✓ | ๐บ๐ธ United States | |
| Freemium | Free tier, then $99/seat/month | ✓ | Cloud + Self-hosted | — | ๐บ๐ธ United States | |
| Pay-per-use | — | — | Cloud | — | ๐ฉ๐ช Germany | |
| Free | Free (open source) | ✓ | Self-hosted | ✓ | ๐บ๐ธ United States | |
| Freemium | $39/seat/mo | ✓ | Cloud + Self-hosted | — | ๐บ๐ธ United States | |
| Free | Free (open source) | ✓ | Self-hosted | ✓ | ๐บ๐ธ United States | |
| Pay-per-use | $30/mo free credits | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Pay-per-use | $0.91/hr (L4 GPU) | ✓ | Cloud | — | ๐ซ๐ท France | |
| Pay-per-use | $0.05/1M tokens | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Contact Sales | — | — | Cloud + Self-hosted | — | ๐จ๐ญ Switzerland | |
| Pay-per-use | Per-second GPU billing | — | Cloud | — | ๐บ๐ธ United States | |
|
T
TRL
|
Free | Free (open source) | ✓ | Self-hosted | ✓ | ๐บ๐ธ United States |
| Pay-per-use | Pay-per-token | — | Cloud + Self-hosted | — | ๐บ๐ธ United States | |
| — | — | ✓ | — | ✓ | ๐บ๐ธ United States | |
| Pay-per-use | $0.02/megapixel | ✓ | Cloud | — | ๐บ๐ธ United States | |
| Free | Free (open source) | ✓ | Self-hosted | ✓ | ๐บ๐ธ United States |
Ordering is alphabetical, apart from featured listings, which are paid placement and are labelled as such. Nothing here is ranked by quality. Want to be featured?
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
Open-source toolkit for fine-tuning LLMs with a single YAML config across the...
From: Free (open source)
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.
From: Free tier, then $99/seat/month
Open-source fine-tuning framework for 100+ LLMs with a web UI
From: Free (open source)
LangSmith is a unified DevOps platform for developing, collaborating, testing...
From: $39/seat/mo
Show all 14 providers with free tiers
Declarative deep learning framework for building and fine-tuning models with ...
From: Free (open source)
Run generative AI models, large-scale batch jobs, job queues, and much more.
From: $30/mo free credits
European cloud provider with AI inference, training, and deployment services
From: $0.91/hr (L4 GPU)
Hugging Face library for training language models with RLHF, SFT, and DPO
From: Free (open source)
Fine-tune LLMs up to 30x faster with 90% less memory usage
Build the next generation of creativity with fal. Lightning fast inference.
From: $0.02/megapixel
PyTorch-native fine-tuning library from Meta, no longer actively maintained (...
From: Free (open source)
Frequently asked questions
Which fine-tuning offer a free tier?
14 of the 20 fine-tuning listed offer a free tier or free credits. Examples: Amazon Bedrock, Axolotl, Hugging Face, Klu, LLaMA-Factory. 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, TRL. Most can be self-hosted alongside or instead of any managed offering.
Are there European fine-tuning?
Yes. 3 providers in this category are headquartered in Europe, including Kontinent, OVHcloud AI, Prem AI. The European providers page has the full cross-category list with hosting regions.
Which fine-tuning can be self-hosted?
9 of the 20 listed support self-hosting, either as the primary deployment model or alongside a managed cloud offering. Examples: Axolotl, Klu, LLaMA-Factory, LangSmith, Ludwig.
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 Kontinent, OVHcloud AI, Prem AI keep data within EU jurisdiction. See the full European AI Infrastructure directory. Self-hostable options like Axolotl and Klu 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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