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uxwizz.com
#107

LFM2-24B-A2B

Liquid Release: 2026-02-24 Tested on: 2026-04-10 23:27 liquid/lfm-2-24b-a2b::none

Summary

LFM2-24B-A2B scores 4.1 on AI BENCHY and ranks #107. It has N/A reliability, a 14.6% pass rate, $0.001 total cost, and 811ms average response time.

What makes LFM2-24B-A2B unique: It stands out most in Domain specific, where it ranks #4, while Data parsing and extraction is its weakest area at #15. It is notably fast compared with similar models.

Archived model: this model is no longer updated or tested on new tests.

Score

4.1

Consistency

9.0

Reliability

N/A

Total Output Tokens

1,185

Total Input Tokens

0

Input Price

$0.030 / 1M

Output Price

$0.120 / 1M

Tests Correct

Wrong Tests: 15

Attempt pass rate: 14.6%

Flaky tests

2

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

Response Time (avg)

811ms

Response Time (max): 2.88s

Response Time (total): 11.35s

Generation showcase

Hamster playing table tennis

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

#107 LiquidAI: LFM2-24B-A2B

none
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-05-06 14:04 Re-test 4.2 N/A $0.001 Compare
2026-05-06 14:04 Re-test 4.2 N/A $0.001 Compare
2026-05-06 14:04 Suite changed 4.2 N/A $0.001 Compare
2026-04-10 23:27 First recorded run 4.1 N/A $0.001 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-10 23:27 · First recorded run4.19.0N/A1/1621,1850$0.001811ms
2026-05-06 14:04 · Suite changed4.29.0N/A2/1621,1850$0.001811ms
Difference-0.10.0-1000$0.0000ms

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 3.3 9.8
Combined 3.0 10.0
Data parsing and extraction 3.0 10.0
Domain specific 5.9 7.2
General Intelligence 4.0 10.0
Instructions following 4.8 10.0
Puzzle Solving 4.4 7.9
Tool Calling 3.0 10.0

Compared models