AI BENCHY
AD
Track all your projects in one dashboard. Get 📊stats, 🔥heatmaps and 👀recordings in one self-hosted dashboard.
uxwizz.com
#65

Gemma 4 26B A4B

Google Release: 2026-04-03 Tested on: 2026-04-22 21:39 google/gemma-4-26b-a4b-it::none
(medium) (none)

Summary

Gemma 4 26B A4B scores 6.2 on AI BENCHY and ranks #65. It has N/A reliability, a 48.2% pass rate, $0.005 total cost, and 6.59s average response time.

What makes Gemma 4 26B A4B unique: Its total benchmark cost is unusually low for its score range.

Score

6.2

Consistency

8.7

Reliability

N/A

Total Output Tokens

1,783

Total Input Tokens

0

Input Price

$0.070 / 1M

Output Price

$0.340 / 1M

Tests Correct

Wrong Tests: 11

Attempt pass rate: 48.2%

Flaky tests

3

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

6.59s

Response Time (max): 57.10s

Response Time (total): 118.61s

Generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#65 Gemma 4 26B A4B

none
Cost
$0.001
Time
39.5s
Tokens
790 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 14:04 New test added 6.0 10.0 $0.004 Compare
2026-05-22 00:29 Suite changed 6.2 10.0 $0.006 Compare
2026-04-22 21:39 First recorded run 6.2 N/A $0.005 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-22 21:39 · First recorded run6.28.7N/A7/1831,7830$0.0056.59s
2026-05-22 00:29 · Suite changed6.29.210.08/2021,8150$0.0066.00s
Difference0.0-0.5-1+1-320-$0.001+591ms

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 8.3 10.0
Coding 4.7 1.6
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.6 7.2
General Intelligence 4.0 10.0
Instructions following 4.4 6.9
Puzzle Solving 5.7 10.0
Tool Calling 10.0 10.0

Compared models