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CostPerPrompt

Llama 4 Maverick API Pricing

Meta · context window 1M · prices updated 2026-09-20

Input per 1M tokens
$0.1875
Output per 1M tokens
$0.6525
Cached input per 1M
No discounted cached tier on this model

Where Llama 4 Maverick sits on price

At $0.6525 per million output tokens, Llama 4 Maverick is a mid tier model — 3.1× cheaper than the median output price of $2.00, which puts it cheaper than 75% and pricier than 25% of the models we track. It is the most expensive of the 8 Meta models we track. Output costs 3.5× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
1,532,567
One full context fill
$0.1966
Cheaper than
75% of tracked models

What real workloads cost on Llama 4 Maverick

These three workloads are the ones teams actually run on a mid-priced model — a $0.6525/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0019 $27.76
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0009 $267
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.0495 $297

Model your exact traffic in the API cost calculator — it preloads Llama 4 Maverick with caching and batch options.

Llama 4 Maverick price history

Meta last cut Llama 4 Maverick's output price on Sep 15, 2026 (-6% per output token), from $0.2/$0.696 to $0.1875/$0.6525 per 1M in/out. That is one of 4 repricings in the 49 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) $0.2 $0.8
Aug 10, 2026 $0.2 $0.696 -13%
Aug 14, 2026 $0.2 $0.8 +15%
Aug 31, 2026 $0.2 $0.696 -13%
Sep 15, 2026 $0.1875 $0.6525 -6%

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Llama 4 Maverick vs Gemma 2 27B

The closest-priced alternative from another vendor is Gemma 2 27B (Google) — priced within a rounding error on output, with $0.4625 more 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 2 27B pricing →

Cheaper alternatives

More Meta models

Frequently asked questions

How much does the Llama 4 Maverick API cost?

Llama 4 Maverick costs $0.1875 per million input tokens and $0.6525 per million output tokens and no discounted cached-input tier. That works out to roughly 1,532,567 output tokens per dollar.

What does the support chatbot workload cost on Llama 4 Maverick?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0019 per request and $27.76 per month on Llama 4 Maverick. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Llama 4 Maverick's 1M context window?

Sending 1M of input in a single request costs $0.1966 at $0.1875 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 Maverick worth the price?

Llama 4 Maverick sits in the middle of the market (8 of 8 by price within Meta). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.