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uxwizz.com
#91

Gemma 4 26B A4B

Google Release: 2026-04-03 Tested on: 2026-05-22 00:29 google/gemma-4-26b-a4b-it::none
25.2B total (3.8B active)MoEOpen source
(medium) (none)

Summary

Gemma 4 26B A4B scores 6.2 on AI BENCHY and ranks #91. It has 10.0 reliability, a 46.7% pass rate, $0.006 total cost, and 6.00s average response time.

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

Model facts

Researched on 2026-08-12

Reported
Parameters
25.2B total (3.8B active)
Architecture
MoE
Availability
Open source
License
Apache-2.0

Score

6.2

Consistency

9.2

Total Output Tokens

1,815

Total Input Tokens

0

Input Price

$0.060 / 1M

Output Price

$0.330 / 1M

Tests Correct

Wrong Tests: 12

Attempt pass rate: 46.7%

Flaky tests

2

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

Response Time (avg)

6.00s

Response Time (max): 57.10s

Response Time (total): 119.98s

Hamster playing table tennis

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

#91 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
2026-08-14 02:51 Re-test 5.6 10.0 $0.023 Compare
2026-07-16 23:02 New test added 5.5 10.0 $0.018 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 Current run
2026-04-22 21:39 First recorded run 6.2 N/A $0.005 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:29 · Suite changed60/60 attempts6.29.210.08/2021,8150$0.0066.00s
2026-04-22 21:39 · First recorded run54/54 attempts6.28.7N/A7/1831,7830$0.0056.59s
Difference0.0+0.5+1-1+320+$0.001-591ms

Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 54/54 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

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 4.1 5.8
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 6.3 10.0
Puzzle Solving 6.2 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models