Llama (Meta) Pricing: Plans & API Token Cost Calculator 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
Open Weights
Full Llama 4 weights to download and self-host, with commercial use allowed under 700M monthly active users
Enterprise License
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
Llama (Meta) pricing: the quick answer
Llama is free to download and self-host as of July 8, 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
Llama (Meta) is free to start, against a $8.50/mo median across 10 large language models tools we track.
API Token Pricing
Llama (Meta) cost calculator
Llama (Meta) Hidden Costs & Pitfalls
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.
Llama (Meta) pricing, read against its live plans and category
Positioning
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.
Cost drivers
- 1Inference Infrastructure: hosting the large Llama 4 models needs high-end GPU clusters, and those hours are where the budget actually goes.
- 2Operational Overhead: self-hosting demands dedicated engineering for deployment, quantization, and ongoing maintenance.
- 3Fine-Tuning Costs: the weights are free, but training and distilling on your own data burns real compute.
Watch-outs
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.
Strengths
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
What users say
“if 400b is num of active params, inference is gonna be too expensive.”
“Those llama 70b prices”
Editor’s take
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.
Oleh KemFounder & Lead AnalystLlama (Meta) price history
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Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Official Website | Official vendor website | — |
| G2 | G2 verified user reviews · 4.6/5 · 152 reviews | — |
| Capterra | Capterra verified user reviews · 4.7/5 | — |
| TrustRadius | TrustRadius verified reviews | — |
| PeerSpot | PeerSpot enterprise peer reviews | — |
Every fact on this Llama (Meta) pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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