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#28

Gemma 4 26B A4B

Google Release: 2026-04-03 Tested on: 2026-04-22 21:39 google/gemma-4-26b-a4b-it::medium
25.2B total (3.8B active)MoEOpen source
(medium) (none)

Summary

Gemma 4 26B A4B scores 8.0 on AI BENCHY and ranks #28. It has N/A reliability, a 75.9% pass rate, $0.028 total cost, and 25.03s 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

8.0

Consistency

9.0

Reliability

N/A

Total Output Tokens

60,559

Total Input Tokens

0

Input Price

$0.070 / 1M

Output Price

$0.340 / 1M

Tests Correct

Wrong Tests: 5

Attempt pass rate: 75.9%

Flaky tests

2

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

Response Time (avg)

25.03s

Response Time (max): 147.47s

Response Time (total): 425.48s

Hamster playing table tennis

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

#28 Gemma 4 26B A4B

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:53 Re-test 6.8 10.0 $0.111 Compare
2026-07-16 23:43 New test added 6.6 9.4 $0.082 Compare
2026-06-04 14:22 New test added 7.6 8.9 $0.045 Compare
2026-05-22 00:42 Suite changed 7.5 10.0 $0.045 Compare
2026-04-22 21:39 First recorded run 8.0 N/A $0.028 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-22 21:39 · First recorded run54/54 attempts8.09.0N/A13/18260,5590$0.02825.03s
2026-06-04 14:22 · New test added63/63 attempts7.69.28.914/212128,49040,252$0.04563.41s
Difference+0.5-0.2-10-67931-40252-$0.017-38386ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 63/63 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 10.0 10.0
Coding 2.8 10.0
Combined 9.6 10.0
Data parsing and extraction 10.0 10.0
Domain specific 2.9 4.4
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 7.9 9.6
Tool Calling 10.0 10.0

Compared models