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#135

Granite 4.1 8B

IBM Granite Release: 2026-05-01 Tested on: 2026-05-01 00:31 ibm-granite/granite-4.1-8b::none

Summary

Granite 4.1 8B scores 4.3 on AI BENCHY and ranks #135. It has 10.0 reliability, a 11.1% pass rate, $0.003 total cost, and 767ms average response time.

What makes Granite 4.1 8B unique: It stands out most in Coding, where it ranks #1, while Data parsing and extraction is its weakest area at #15. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Score

4.3

Consistency

10.0

Total Output Tokens

2,712

Total Input Tokens

0

Input Price

$0.050 / 1M

Output Price

$0.100 / 1M

Tests Correct

Wrong Tests: 16

Attempt pass rate: 11.1%

Flaky tests

0

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

Response Time (avg)

767ms

Response Time (max): 2.17s

Response Time (total): 13.81s

Generation showcase

Hamster playing table tennis

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

#135 IBM: Granite 4.1 8B

none
Cost
$0.001
Time
3.2s
Tokens
491 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 14:07 New test added 4.0 10.0 $0.003 Compare
2026-05-22 00:30 Suite changed 4.1 10.0 $0.003 Compare
2026-05-01 00:31 Initial run 4.3 10.0 $0.003 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-01 00:31 · Initial run4.310.010.02/1802,7120$0.003767ms
2026-06-04 14:07 · New test added4.010.010.02/2102,91146,285$0.003728ms
Difference+0.20.00.000-199-46285-$0.001+39ms

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 4.9 10.0
Coding 6.9 10.0
Combined 3.0 10.0
Data parsing and extraction 3.0 10.0
Domain specific 3.0 10.0
General Intelligence 4.0 10.0
Instructions following 3.6 9.9
Puzzle Solving 3.7 10.0
Tool Calling 10.0 10.0

Compared models