Llama 4 Scout API Pricing
Meta · context window 1.3M · prices updated 2026-09-15
Where Llama 4 Scout sits on price
At $0.3 per million output tokens, Llama 4 Scout is a budget tier model — 6.9× cheaper than the median output price of $2.08, which puts it cheaper than 88% and pricier than 12% of the models we track. It sits 4th cheapest of the 8 Meta models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.
What real workloads cost on Llama 4 Scout
These three workloads are the ones teams actually run on a budget-priced model — a $0.3/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. | $0 | $276 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0001 | $2.85 |
| Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. | $0.0262 | $157 |
Model your exact traffic in the API cost calculator — it preloads Llama 4 Scout with caching and batch options.
Llama 4 Scout price history
Meta last cut Llama 4 Scout's output price on Sep 1, 2026 (-12% per output token), from $0.11/$0.34 to $0.1/$0.3 per 1M in/out. That is one of 2 repricings in the 44 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 2, 2026 (tracking began) | $0.1 | $0.3 | — |
| Aug 26, 2026 | $0.11 | $0.34 | +13% |
| Sep 1, 2026 | $0.1 | $0.3 | -12% |
Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).
Llama 4 Scout vs Gemma 4 26B A4B
The closest-priced alternative from another vendor is Gemma 4 26B A4B (Google) — priced within a rounding error on output, with $0.01 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.
See Gemma 4 26B A4B pricing →Cheaper alternatives
More Meta models
Frequently asked questions
› How much does the Llama 4 Scout API cost?
Llama 4 Scout costs $0.1 per million input tokens and $0.3 per million output tokens and no discounted cached-input tier. That works out to roughly 3,333,333 output tokens per dollar.
› What does the high-volume classification workload cost on Llama 4 Scout?
High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $276 per month on Llama 4 Scout. Short output, huge volume: the input price dominates the bill.
› What does it cost to fill Llama 4 Scout's 1.3M context window?
Sending 1.3M of input in a single request costs $0.1311 at $0.1 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.
› Is Llama 4 Scout worth the price?
Llama 4 Scout is in the cheapest end of the market — cheaper than 88% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.