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Together AI Fine-tuning costs $0.48 to $8 per per 1M tokens as of May 2026, with 3 plans available. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Together AI Fine-tuning offers 3 pricing tiers: Small Models (Up to 16B), Mid-Size Models (17B–69B), Large Models (70B–100B). The Mid-Size Models (17B–69B) plan is fine-tuning mid-size open-source models (17b–69b).

Compared to other fine-tuning apis software, Together AI Fine-tuning is positioned at the budget-friendly price point.

How much does Together AI Fine-tuning cost?

Together AI Fine-tuning pricing starts at $0.48/per 1M tokens across 3 plans, with enterprise pricing available on request. Plans include Small Models (Up to 16B) (custom pricing), Mid-Size Models (17B–69B) (custom pricing), Large Models (70B–100B) (custom pricing).

Together AI Fine-tuning Pricing Overview

Together AI Fine-tuning has 3 pricing plans ranging from $0.48 to $8/per 1M tokens. The Small Models (Up to 16B) plan requires contacting sales for a custom quote and is designed for fine-tuning compact open-source models (≤ 16b) at the lowest per-token rate. The Mid-Size Models (17B–69B) plan requires contacting sales for a custom quote and is designed for fine-tuning mid-size open-source models (17b–69b). The Large Models (70B–100B) plan requires contacting sales for a custom quote and is designed for fine-tuning large open-source models (70b–100b).

This pricing was last verified in May 30, 2026 from 1 independent sources.

Together AI Fine-tuning is a cloud-based API service that enables developers and AI teams to train custom versions of popular open-source large language models. Pricing is usage-based and calculated per million tokens processed during training and validation, with no monthly subscription required. LoRA fine-tuning for small models (up to 16B parameters) starts at $0.48 per million tokens — the lowest rate on the platform. Full supervised fine-tuning (SFT) for the same model size costs $1.20/1M tokens, scaling up to $3.20/1M tokens for DPO on 70B–100B models. No free tier is available, but there is no minimum spend for standard model fine-tuning jobs.

How Together AI Fine-tuning Pricing Compares

Compare Together AI Fine-tuning pricing against top alternatives in Fine-tuning APIs.

All Together AI Fine-tuning Plans & Pricing

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

Small Models (Up to 16B)

  • SFT: LoRA $0.48 / Full $0.54 per 1M tokens
  • DPO: LoRA $1.20 / Full $1.35 per 1M tokens
  • Lowest-cost tier — LoRA SFT at $0.48/1M tokens
  • No minimum job cost

Mid-Size Models (17B–69B)

  • SFT: LoRA $1.50 / Full $1.65 per 1M tokens
  • DPO: LoRA $3.75 / Full $4.12 per 1M tokens
  • No minimum job cost

Large Models (70B–100B)

  • SFT: LoRA $2.90 / Full $3.20 per 1M tokens
  • DPO: LoRA $7.25 / Full $8.00 per 1M tokens
  • No minimum job cost
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Compare Together AI Fine-tuning vs Alternatives

Before committing to Together AI Fine-tuning, compare pricing with these 3 alternatives in the same category.

All Together AI Fine-tuning alternatives & migration guides

How Together AI Fine-tuning Pricing Compares

Software Starting Price Top Price
Together AI Fine-tuning $0.48/per 1M tokens $8/per 1M tokens
Predibase $0.5/per million tokens $8/per million tokens
OpenAI Fine-tuning $3/per 1M tokens $25/per 1M tokens
Lamini Custom Custom

Together AI Fine-tuning Pricing FAQ

01 How does Together AI calculate fine-tuning costs?

Together AI bills based on the total number of tokens processed during a fine-tuning job. This includes tokens in the training dataset multiplied by the number of epochs, plus any tokens in the optional validation dataset multiplied by the number of evaluations. There is no minimum cost for standard models, so small experiments are affordable.

02 What is the difference between LoRA and full supervised fine-tuning pricing on Together AI?

LoRA (Low-Rank Adaptation) fine-tuning is priced lower per token than full SFT on Together AI. For example, models up to 16B cost $0.48/1M tokens for LoRA SFT but $1.20/1M tokens for full SFT. LoRA is a parameter-efficient method that updates fewer weights; full SFT updates all model parameters and costs more per token as a result.

03 Does Together AI support fine-tuning for DeepSeek models?

Together AI supports fine-tuning for a range of open-source models including Llama, Mistral, Qwen, and DeepSeek variants available on their platform. Pricing depends on model size and falls into the standard model-size tiers — check the Together AI pricing page for the current list of fine-tunable models.

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