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#37

GLM 5.1

Z.ai Release: 2026-04-07 Tested on: 2026-04-22 12:55 z-ai/glm-5.1::medium
(medium) (none)

Summary

GLM 5.1 scores 7.8 on AI BENCHY and ranks #37. It has N/A reliability, a 75.9% pass rate, $0.201 total cost, and 24.13s average response time.

What makes GLM 5.1 unique: It stands out most in Domain specific, where it ranks #3, while Coding is its weakest area at #18.

Score

7.8

Consistency

8.6

Reliability

N/A

Total Output Tokens

57,095

Total Input Tokens

0

Input Price

$1.050 / 1M

Output Price

$3.500 / 1M

Tests Correct

Wrong Tests: 6

Attempt pass rate: 75.9%

Flaky tests

3

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

Response Time (avg)

24.13s

Response Time (max): 118.52s

Response Time (total): 410.25s

Generation showcase

Hamster playing table tennis

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

#37 GLM 5.1

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

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:06 New test added 7.3 6.7 $0.292 Compare
2026-05-21 23:46 Suite changed 7.4 3.3 $0.286 Compare
2026-05-08 14:41 Suite changed 7.6 0.0 $0.209 Compare
2026-05-08 14:41 Suite changed 7.6 0.0 $0.209 Compare
2026-04-22 12:55 First recorded run 7.8 N/A $0.201 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-22 12:55 · First recorded run7.88.6N/A12/18357,0950$0.20124.13s
2026-05-21 23:46 · Suite changed7.48.33.312/20483,3510$0.28632.22s
Difference+0.4+0.30-1-262560-$0.085-8091ms

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 4.7 1.6
Combined 9.5 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 10.0 10.0
Instructions following 6.4 5.8
Puzzle Solving 8.2 7.2
Tool Calling 3.0 10.0

Compared models