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On-DemandCustomReservedCustomSelf-ManagedCustom
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All Lamini Plans & Pricing

Plan Monthly Annual Best For
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On-Demand

  • $0.50 per million inference tokens
  • $0.50 per tuning step per GPU
  • Pay-as-you-go — no long-term commitment
  • $300 free credit on signup
  • Memory tuning for mixture-of-experts models
  • Burst tuning across multiple GPUs
  • Credits purchasable in $100 increments

Reserved

  • Dedicated GPU cluster hosted on Lamini infrastructure
  • Per-GPU pricing
  • Suitable for high-volume or continuous fine-tuning workloads
  • Contact sales for pricing

Self-Managed

  • Run Lamini Platform on your own GPUs
  • On-premise or in your own cloud environment
  • Per-GPU license pricing
  • Contact sales for pricing
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Quick Answer
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Estimate

Lamini uses custom pricing as of July 2026 with 3 plans available. Contact Lamini directly for a personalized quote. 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

Lamini offers 3 pricing tiers: On-Demand, Reserved, Self-Managed.

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

  • 5 documented hidden costs beyond list price
Last verified:

How much does Lamini cost?

Lamini uses custom pricing across 3 plans. Contact Lamini directly for a personalized quote. Plans include On-Demand (custom pricing), Reserved (custom pricing), Self-Managed (custom pricing).

Lamini Pricing Overview

Lamini uses custom pricing — contact their sales team for a quote. The On-Demand plan requires contacting sales for a custom quote. The Reserved plan requires contacting sales for a custom quote. The Self-Managed plan requires contacting sales for a custom quote.

There are at least 5 documented hidden costs beyond Lamini's list price, including implementation, training, and add-on fees.

This pricing was last verified in May 30, 2026.

Start Lamini Free Trial

Lamini is an enterprise LLM platform built for fine-tuning and deploying large language models at scale. It offers three deployment modes: On-Demand (pay-as-you-go managed inference and training), Reserved (dedicated GPUs on Lamini infrastructure), and Self-Managed (run on your own hardware). On-Demand pricing starts at $0.50 per million tokens and $0.50 per tuning step per GPU, with $300 in free credits available to all new users.

How Lamini Pricing Compares

Compare Lamini 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 → Together AI Fine-tuning $0.48-$8.0/per 1M tokens Compare →

Compare Lamini vs Alternatives

Before committing to Lamini, 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
VSTogether AI Fine-tuning
From $0.48/per 1M tokens

General use

Full comparison

All Lamini alternatives & migration guides

What Companies Actually Pay for Lamini

Review scores
Third-party review aggregates, as of Jun 2026
Top pricing complaints
Limited AccessibilityComplexityDependency on Base ModelsRequirement for Large Datasets

How Lamini Pricing Compares

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

5 Lamini Hidden Costs Beyond the List Price

Beyond the listed price, Lamini has at least 5 documented hidden costs that can significantly increase total cost of ownership.

Watch for 5 hidden costs
  • Opaque Pricing
    high 1 source
    industry "This opaque model can make budgeting and predicting future costs challenging."
  • High Technical Barrier & Maintenance
    high 1 source
    industry "The "sticker price" for a platform like Lamini is merely a starting point; the true cost encompasses the ongoing effort of preparing data, monitoring the model, refining prompts, and evaluating performance, all of which fall to the internal team."
  • Developer Salaries
    critical 1 source
    industry "Developer Salaries: The cost of developer salaries is identified as a potential "hidden cost" when building and maintaining custom AI solutions with platforms like Lamini."
  • Data Requirements
    medium 1 source
    industry "Data Requirements: For optimal performance, Lamini requires large datasets for training, which might not be feasible for all users."
  • GPU and Infrastructure Costs
    medium 1 source
    industry "GPU and Infrastructure Costs: While Lamini provides its own hosted GPU computing network for cost-effective model training, and offers options for on-demand, reserved (per-GPU pricing), and self-managed (per-GPU pricing) deployments, the underlyin..."
Tip

Ask your Lamini 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. 7 source citations total.

How to Negotiate Lamini Pricing

Lamini contracts are negotiable. These 2 tactics are sourced from real buyer experiences and procurement specialists.

Negotiation Playbook 2 tactics
Leverage Market Knowledge high success

Understanding the market value and competitive landscape can strengthen a buyer's position, as LLM API prices vary significantly, with open-source inference providers sometimes offering 50-90% lower costs.

https://llmcapsule.ai
Understand Seller Motivation medium success

Gaining insight into the vendor's priorities beyond just price can help craft more appealing offers.

https://llmcapsule.ai
High success Medium Low / difficult

Full negotiation guide →

Lamini Pricing FAQ

01 How much does Lamini cost?

Lamini's On-Demand tier charges $0.50 per million inference tokens and $0.50 per tuning step per GPU, with no monthly minimum. New users receive $300 in free credit upon signup. Reserved and Self-Managed plans are priced per GPU and require contacting sales.

02 Does Lamini offer a free trial?

Yes. All new and existing Lamini users receive $300 in free credits upon signing up, which can be applied to On-Demand inference and tuning usage with no expiration or commitment required.

03 What is the difference between On-Demand, Reserved, and Self-Managed plans?

On-Demand is fully managed by Lamini with pay-as-you-go billing — best for variable workloads. Reserved provides dedicated GPUs on Lamini's infrastructure for consistent high-volume usage. Self-Managed lets you run the Lamini Platform on your own hardware or private cloud for full data sovereignty.

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