Llama API pricing: every model, every rate

Llama is open-weight, so the same model is hosted by many providers at wildly different rates. Below is what each variant bills at here.

In short: Meta bills 11 text models here, from $0.198 to $9 per 1M tokens blended (input + output). no Meta list price could be verified for any of them, so every figure here is a gateway rate and no discount is claimed. A working workload — 50M input and 10M output tokens per month — costs about $60.00 on llama-3-8b. Rates checked 2026-09-16.

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Full rate card

26 billable models in total, 11 of them text models. On those text models: 0 carry a rate verified against the vendor's own published pricing, the rest are gateway rates only. USD per 1M tokens, checked 2026-09-16.

Model	Input	Output	Out/In	Official (in / out)
`Llama-3.1-405B`	$3	$6	2.0×	not verified
`Meta-Llama-3.1-405B-Instruct`	$3	$6	2.0×	not verified
`llama-3.1-405b-instruct`	$3	$6	2.0×	not verified
`llama-3.2-90b-vision-instruct`	$3	$9	3.0×	not verified
`llama-3-70b`	$2	$4	2.0×	not verified
`llama-3.1-70b`	$2	$4	2.0×	not verified
`llama-3.1-70b-instruct`	$2	$2	1.0×	not verified
`meta-llama/llama-3.1-70b-instruct`	$2	$2	1.0×	not verified
`meta-llama/llama-4-maverick`	$1.25	$5	4.0×	not verified
`meta-llama/llama-4-scout`	$1.25	$5	4.0×	not verified
`llama-2-13b`	$1	$1	1.0×	not verified
`llama-2-70b`	$1	$1	1.0×	not verified
`llama-2-7b`	$1	$1	1.0×	not verified
`llama-3-8b`	$1	$1	1.0×	not verified
`llama-3.1-8b`	$1	$1	1.0×	not verified
`llama-3.2-11b-vision-instruct`	$1	$1	1.0×	not verified
`llama-3-sonar-large-32k-chat`	$0.75	$0.75	1.0×	not verified
`llama-3-sonar-small-32k-chat`	$0.75	$0.75	1.0×	not verified
`llama-3.2-3b-instruct`	$0.5	$0.25	0.5×	not verified
`llama-3.3-70b-instruct`	$0.36	$0.36	1.0×	not verified
`llama-3.1-70b-instruct-turbo`	$0.25	$1	4.0×	not verified
`llama-3.2-1b-instruct`	$0.25	$0.0625	0.2×	not verified
`llama-3.2-90b-vision`	$0.17	$0.1938	1.1×	not verified
`llama-3.1-8b-instruct`	$0.125	$0.5	4.0×	not verified
`llama-4-maverick`	$0.07	$0.35	5.0×	not verified
`llama-3.3-70b`	$0.05	$0.148	3.0×	not verified

Output is billed at a multiple of input on most models. The Out/In column is that multiple — it matters more than the input price once output dominates your bill.

Across 11 priced text models the blended rate spans $0.198 (llama-3.3-70b) to $9 (Meta-Llama-3.1-405B-Instruct) per 1M tokens — a 45× spread. Picking the wrong tier is usually the single most expensive mistake here.

What Meta costs at three usage levels

Priced on llama-3.3-70b at $0.05 in / $0.148 out; llama-3-8b at $1 in / $1 out per 1M tokens, with a 5:1 input-to-output ratio — roughly what an interactive workload produces.

Usage level	Tokens per month (in / out)	Lowest-cost tier `llama-3.3-70b`	Median-rate model `llama-3-8b`
Light pilot or side project	5M / 1M	$0.40	$6.00
Working one product in production	50M / 10M	$3.98	$60.00
Heavy high-volume pipeline	500M / 100M	$39.80	$600.00

The first column is this vendor's lowest-cost tier; the second is the model closest to its median rate, which is nearer what a real deployment bills. Swap in your own token split in the calculator.

Same budget, other vendors

3 models from other vendors priced within 35% of llama-3-8b on a blended rate — the cheapest, the dearest and one in between. This is the horizontal check a single-vendor pricing page cannot give you.

Model	Vendor	In / out per 1M	vs this
`qwen3-30b-a3b-think`	Alibaba	$0.1 / $1.2	−35.0%
`doubao-lite-32k`	ByteDance	$1 / $1	same
`deepseek-v4-pro-0813`	DeepSeek	$0.66 / $1.98	+32.0%

Blended comparison (input + output per 1M tokens). Price is one axis — these are the models worth testing side by side at this budget, not interchangeable substitutes.

Why the output rate decides the bill

Across the 6 priced Meta text models, the output rate runs from 2.0× to 5.0× the input rate, with a median of 4.0×. Output tokens are what a chat or agent turn produces — on a typical workload they are the smaller half of the token count but the larger half of the bill.

Worked out: at a 4.0× multiple, a job whose token count is 80% input still spends 50% of its cost on the output it generates. Comparing vendors on the input rate alone hides that.

What Meta is good at

Llama 405B is the usual open-weight choice when you need on-prem-equivalent capability without a frontier price tag.

Before you compare: Because Llama is open-weight, rate differences between hosts are usually infrastructure margin rather than model difference. Worth shopping.

Other vendors

Every rate card here is built the same way, from the same price snapshot (2026-09-16), so the numbers are comparable across vendors:

Anthropic · OpenAI · Google · DeepSeek · Alibaba · xAI · Zhipu · Moonshot · MiniMax · ByteDance

FAQ

How much does Meta charge per million tokens?

Across the 11 priced text models in this catalogue, the blended rate (input plus output per 1M tokens) runs from $0.198 on llama-3.3-70b to $9 on Meta-Llama-3.1-405B-Instruct, as of 2026-09-16. The spread is what matters: choosing the wrong tier inside one vendor usually costs more than switching vendor.

What is the cheapest Meta model for high-volume work?

llama-3.3-70b is the lowest blended rate here at $0.05 input and $0.148 output per 1M tokens. On a Heavy workload — 500M input and 100M output tokens a month — that bills about $39.80. At the other end, the same workload on Meta-Llama-3.1-405B-Instruct costs about $2,100.00.

Is Meta cheaper through a gateway than buying direct?

We do not claim a discount on Meta. Its list pricing is not published in a stable machine-readable form, so every figure on this page is a gateway rate with no verified official price to compare against. Check the number in your dashboard before committing to a budget.

How does output pricing change a Meta bill?

Output is billed at a multiple of input on every model priced here, so the input rate alone never predicts the bill. A workload that is mostly input tokens still lands most of its cost on the output column once that multiple is applied. Price your own in/out split in the calculator rather than extrapolating from the headline input rate.

Are the Llama models here the cheapest way to run open-weight work?

Among open-weight families in this catalogue they are the lowest-priced, with the 70B-class tiers in the sub-$1 blended band. The gap to the cheapest closed models is small, so the decision usually comes down to whether you need the weights themselves.

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