Llama 4 Maverick

Released on 5 April 2025

Compare this model

Lab: Meta (United States)
Weights: Open weights
Context window: 1M tokens
Maximum output: 16k tokens
Input / output price: $0.188 / $0.653 per million tokens
Input modalities: Text
Image
Reasoning: No
OpenRouter identifier: meta-llama/llama-4-maverick

At a glance

Updated 5 October 2026

Business Index

98.3%± 1.8 (95% margin of error)

Rank 22 / 27

76.8%100.0%

Average cost per test

$0.0017

9th cheapest of 27

$0.0003$0.084

Median time

5.6 s

13th fastest of 27

1.7 s36.2 s

Average hallucinations: 1.0%
Benchmarks taken: 1 / 1

Scores by business function

The model's mean accuracy across the benchmarks of each business function.

Accuracy

Finance
Not tested
Accounting
98.3%
Human resources
Not tested
Legal
Not tested
Sales
Not tested
Marketing
Not tested
Customer service
Not tested
Procurement & logistics
Not tested
IT
Not tested
Management
Not tested

Results by benchmark

Accounting

Advertising invoice extraction
98.3%± 1.8
rank 22 of 27

Bars on a 0 to 100% scale. The rank compares the models tested on the same benchmark.

Stability from run to run

A given model alias can change behaviour without notice; re-testing it at every run is how that drift gets caught.

Mean accuracy at each run

Mean of the model's accuracy across the benchmarks it appears in, run after run. The vertical axis is truncated so that small gaps stay readable.

View the values

Run	Mean accuracy	Benchmarks
2 October 2026	98.7%	1
4 October 2026	97.9%	1
5 October 2026	98.3%	1