Gemma 4 31B

Released on 2 April 2026

Compare this model

Lab: Google (United States)
Weights: Open weights
Context window: 262k tokens
Maximum output: 16k tokens
Input / output price: $0.09 / $0.34 per million tokens
Input modalities: Image
Text
Video
Reasoning: Yes
OpenRouter identifier: google/gemma-4-31b-it

At a glance

Updated 5 October 2026

Business Index

99.3%± 1.2 (95% margin of error)

Rank 7 / 27

76.8%100.0%

Average cost per test

$0.0003

1st cheapest of 27

$0.0003$0.084

Median time

4.4 s

11th fastest of 27

1.7 s36.2 s

Average hallucinations: 0.0%
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
99.3%
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
99.3%± 1.2
rank 7 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	98.9%	1
5 October 2026	99.3%	1