Price checkPer per 1M tokens
Small Models (Up to 16B)CustomMid-Size Models (17B–69B)CustomLarge Models (70B–100B)Custom
See all 3 plans

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
See Together AI Fine-tuning Plans
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Quick Answer
Last verified:
Estimate

Together AI Fine-tuning costs $0.48 to $8 per per 1M tokens as of July 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.

  • 11 documented hidden costs beyond list price
  • Contracts auto-renew
Last verified: | Sources: 1 pricing pages and reviews

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).

Together AI Fine-tuning contracts auto-renew, with a no minimum monthly commitments (for self-serve users) minimum commitment.

There are at least 11 documented hidden costs beyond Together AI Fine-tuning's list price, including implementation, training, and add-on fees.

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

See Together AI Fine-tuning Plans

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.

Predibase $0.5-$8/per million tokens Compare → OpenAI Fine-tuning $3-$25/per 1M tokens Compare → Lamini Custom pricing Compare →

Compare Together AI Fine-tuning vs Alternatives

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

VSPredibase
From $0.5/per million tokens

Developers fine-tuning open models without dedicated infra

Full comparison
VSOpenAI Fine-tuning
From $3/per 1M tokens

General use

Full comparison
VSLamini
Custom

General use

Full comparison

All Together AI Fine-tuning alternatives & migration guides

What Companies Actually Pay for Together AI Fine-tuning

Review scores
Third-party review aggregates, as of Jul 2026
Top pricing complaints
Technical Expertise Required & Poor DocumentationLimited Access to Free ModelsPayment Issues & Unpredictable Billing"Bait and Switch" Tactics

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
Hugging Face AutoTrain $0.03/month $20/month
Weights & Biases Fine-tuning Free $25/user/month

Detailed pricing comparisons:

Browse all Fine-tuning APIs pricing →

11 Together AI Fine-tuning Hidden Costs Beyond the List Price

Beyond the listed price, Together AI Fine-tuning has at least 11 documented hidden costs that can significantly increase total cost of ownership.

Watch for 11 hidden costs
  • Hosting Fine-tuned Model Endpoint $4,700 per month
    high 1 source
    industry "The most significant "hidden" or easily underestimated cost for Together AI Fine-tuning is the hosting of the fine-tuned model on a dedicated endpoint"
  • LoRA SFT Training $0.48 per million tokens
    low 1 source
    industry "LoRA (Low-Rank Adaptation) Supervised Fine-Tuning (SFT) for models up to 16B parameters is priced at $0.48 per million tokens"
  • Full Fine-Tuning $0.54 per million tokens
    low 1 source
    industry "Other costs include: * Training Costs: Together AI bills fine-tuning per million tokens of training data, with rates varying based on model size, training method, and training type"
  • Data Preparation $3,000 to $8,000 of labor equivalent
    high 1 source
    industry "Overall, data acquisition and preparation can account for 30-40% of the total fine-tuning cost"
  • Model Hosting $4,700 per month
    critical 1 source
    industry "While training a LoRA on a 16B base model might cost under a dollar per million training tokens, keeping that model alive on a single H100 GPU around the clock can be approximately $4,700 per month, regardless of actual usage"
  • Engineering Time
    medium 1 source
    industry "Engineering Time: Significant engineering effort is required for tasks like wiring inference, retrieval, retries, and building user interfaces, which contributes to the overall implementation cost"
  • Experimentation Costs
    medium 1 source
    industry "Experimentation Costs: Broad testing across multiple models can quickly accumulate costs, even for modest production usage"
  • Storage, Retention, and Egress Fees
    low 1 source
    industry "Storage, Retention, and Egress Fees: Users are advised to confirm the current policy regarding these potential charges in their account and contract terms"
  • Dedicated Endpoint Hosting $4,700 per month
    critical 1 source
    industry "Dedicated Endpoint Hosting: After training, fine-tuned models are served on dedicated endpoints, billed per minute based on the hardware attached."
  • Talent Investment $150,000-$250,000 annual salary
    high 1 source
    industry "While the fine-tuning job itself is billed per token processed, hosting is a separate, ongoing charge."
  • Data Storage $0.16/GiB/month
    low 1 source
    industry "Data Storage: Clusters come with Weka or VAST parallel filesystems attached at $0.16/GiB/month with zero egress fees."
Tip

Ask your Together AI Fine-tuning sales rep about these costs upfront. Getting them in writing before signing can save you from surprise charges later.

Full hidden costs breakdown →

Intelligence sourced from 1 independent sources
industry
Key claims include inline source attribution. Data verified against multiple independent sources. 12 source citations total.

Together AI Fine-tuning Contract Terms

Together AI Fine-tuning contracts auto-renew. Changes require advance notice. These terms are sourced from verified buyer experiences.

Contract Terms
Auto-Renewal Yes
Minimum Commitment no minimum monthly commitments (for self-serve users)
Based on 1 verified source

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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