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Llama (Meta) pricing plans
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Llama (Meta) Pricing: Plans & Features 2026

The weights are free; your bill is the GPUs or the hosting provider that runs them. Enterprise licensing applies only above 700M monthly active users.

Llama (Meta) plans and pricing

High· Verified July 3, 2026
MOST POPULAR

Open Weights

Free

Best for: Full Llama 4 weights to download and self-host, with commercial use allowed under 700M monthly active users

  • Download and self-host model weights
  • Commercial use allowed for products with under 700M monthly active users (MAU)
  • Access to multiple model sizes (e.g., 1B, 3B, 8B, 70B, 405B)
  • Support for fine-tuning, distillation, and quantization
  • Deploy on-premises or in any cloud environment
View on vendor site

Enterprise License

Contact Sales

Best for: Required only above 700M monthly active users, this is a custom commercial agreement with Meta and a direct partnership, with pricing negotiated rather than published

  • Required for products with over 700M monthly active users (MAU)
  • Custom commercial license agreement with Meta
  • Direct enterprise partnership opportunities
  • Access to full model weights and deployment rights
  • Compliance with custom enterprise terms
View on vendor site

Llama (Meta) pricing: the quick answer

Quick answerLast verified: July 3, 2026High

Llama is free to download and self-host as of July 4, 2026, with no license fee for products under 700 million monthly active users. The weights cost nothing; your real spend is the compute to run them, either your own GPUs or a third-party inference provider. Hosting providers like Groq, Together AI, and Fireworks serve the Llama 4 family at low per-token rates, though the exact price depends heavily on which provider and model size you pick, so compare rate cards rather than assume one figure. Only organizations above 700M monthly active users need Meta's custom Enterprise License, which has no published price.

  • Open WeightsFree
  • Enterprise LicenseCustom
Use the interactive Llama (Meta) pricing calculator to estimate your exact monthly cost at your team size, with annual-billing savings and the hidden costs counted in.
Free tier
Yes
Billing model
Token-Based
Annual discount
Not offered

Llama (Meta) is free to start, against a $7.99/mo median across 11 large language models tools we track.


Llama (Meta) cost calculator

What Llama (Meta) really costs

What sits on top of the plan fee

Nothing on the model itself shows up on an invoice. Every real number here is downstream: the hardware you rent, the provider you route through, or the license you only need at massive scale.

Self-hosting cost is GPUs, not software
The weights are free, so the bill is entirely infrastructure. Running the large 405B model needs a high-end GPU cluster, and those hours dominate any budget; a small 8B model fits on modest hardware, but a 405B deployment can make self-hosting uneconomical for a low-traffic app. There is no per-token fee from Meta, only whatever your cloud or on-prem GPUs cost to keep running.
your compute, no license fee
Third-party providers charge per token instead
If you would rather not run GPUs, providers host Llama and bill per token, and the rate depends heavily on which one you pick. On Groq, Llama 4 8B is $0.05 per 1M input and $0.08 per 1M output, while the larger 3.3 70B is $0.59 input and $0.79 output. The same model on AWS, Together AI, or Fireworks will price differently, so compare providers rather than assuming one published rate holds everywhere.
$0.05 to $0.79 per 1M, provider-dependent
Meta's own Llama API is invite-only with no price
Meta runs a first-party Llama API, but it is waitlist and invite gated and publishes no public rate, so you cannot plan a budget around it. For anything you can act on today, the choices are self-hosting or a third-party provider. The Enterprise License only enters the picture above 700M monthly active users, and that too is negotiated rather than listed.
not published

Pricing Expert Take

Independent analysis · Llama (Meta)

Value Analysis

Llama undercuts the whole category by giving its Open Weights away for free, where the median sits at $8.4/mo. Instead of charging per seat or per token, Meta lets you download and self-host the Llama 4 family at zero software cost across every parameter size. The Enterprise License only triggers above 700 million monthly active users, which makes it a high-value proposition for any scaling startup that stays under that line.

Hidden Costs

  • Inference Infrastructure: hosting the large Llama 4 models needs high-end GPU clusters, and those hours are where the budget actually goes.
  • Operational Overhead: self-hosting demands dedicated engineering for deployment, quantization, and ongoing maintenance.
  • Fine-Tuning Costs: the weights are free, but training and distilling on your own data burns real compute.

Red Flags

The software is free, but users worry loudly about the hardware bill to run it. Hosting the larger sizes can make deployment uneconomical for a small, low-traffic app.

"if 400b is num of active params, inference is gonna be too expensive."

Reddit

"The usual problem is not the price of the final training, it is"

Reddit

Based on analysis of recent Reddit and G2 discussions.

Green Wins

Even at $0, the license itself is the win: full commercial use and modification rights on a strong open model.

  • Permissive license allows for commercial use and modification
  • State-of-the-art performance for open-source models
  • Full data control and privacy via self-hosting

"Meta Llama 4 is fantastic at understanding and responding to natural language"

G2

"It's a solid AI model that can handle a wide range of tasks reasonably"

G2

User Voices

"if 400b is num of active params, inference is gonna be too expensive."

Reddit (negative)

"Those llama 70b prices"

Reddit (positive)

Verdict

The Open Weights plan is the right pick for developers and enterprises that want full data privacy, deep customization, and zero licensing fees, and can run the hardware. For teams without the infrastructure to self-host, a managed alternative like ChatGPT at $20/mo is the more practical route.

ComparEdge EditorialUpdated: July 3, 2026

Llama (Meta) price history


Expert verified·Updated July 3, 2026
Price & Data Intelligence SyncLast verified: July 3, 2026 · CE-LLM-2026W22-58C733 · ✓ Pricing updated May 21, 2026
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Sources & Data Trail · Llama (Meta)

  1. 1.Official Website·Official vendor website
  2. 2.G2·G2 verified user reviews · 4.6/5 · 152 reviews
  3. 3.Capterra·Capterra verified user reviews · 4.7/5
  4. 4.TrustRadius·TrustRadius verified reviews
  5. 5.PeerSpot·PeerSpot enterprise peer reviews