Specifications
- 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-maverickDated version, as of 8 October 2026: meta-llama/llama-4-maverick-17b-128e-instruct
At a glance
Updated 8 October 2026
Business Index
81.9%± 5.9 (95% margin of error)
Rank 21 / 27
54.8%100.0%
Average cost per test
$0.0011
9th cheapest of 27
$0.0002$0.058
Median time
3.9 s
10th fastest of 27
1.5 s29.1 s
- Average hallucinations
- 0.5%
- Benchmarks taken
- 2 / 2
Scores by business function
The model's mean accuracy across the benchmarks of each business function.
Finance
65.6%
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
Finance
- Financial report analysis
65.6%± 11.6
rank 21 of 27
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.
No benchmark has been published twice with this model yet: there is no curve to draw.