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#101

GLM 5.1

Z.ai Release: 2026-04-07 Tested on: 2026-05-08 13:04 z-ai/glm-5.1::none
744B total (40B active)MoEOpen source
(medium) (none)

Summary

GLM 5.1 scores 5.7 on AI BENCHY and ranks #101. It has 10.0 reliability, a 42.1% pass rate, $0.053 total cost, and 4.23s average response time.

What makes GLM 5.1 unique: Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Model facts

Researched on 2026-08-12

Reported
Parameters
744B total (40B active)
Architecture
MoE
Availability
Open source
License
MIT

Score

5.7

Consistency

8.0

Total Output Tokens

3,731

Total Input Tokens

0

Input Price

$1.050 / 1M

Output Price

$3.500 / 1M

Tests Correct

Wrong Tests: 13

Attempt pass rate: 42.1%

Flaky tests

5

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

Response Time (avg)

4.23s

Response Time (max): 32.57s

Response Time (total): 80.36s

Hamster playing table tennis

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

#101 GLM 5.1

none
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 01:32 Re-test 5.7 10.0 $0.238 Compare
2026-07-16 21:16 New test added 5.5 10.0 $0.164 Compare
2026-06-04 13:04 New test added 5.7 10.0 $0.058 Compare
2026-05-21 23:41 Suite changed 5.6 10.0 $0.057 Compare
2026-05-08 13:04 Suite changed 5.7 10.0 $0.053 Compare
2026-05-08 13:04 Suite changed 5.7 10.0 $0.053 Current run
2026-04-22 12:55 First recorded run 5.6 N/A $0.053 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)
2026-05-08 13:04 · Suite changed57/57 attempts5.78.010.06/1953,7310$0.0534.23s
2026-06-04 13:04 · New test added63/63 attempts5.78.510.07/2143,75447,133$0.0584.10s
Difference0.0-0.50.0-1+1-23-47133-$0.006+126ms

Benchmark coverage differs: 57/57 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 4.0 6.3
Coding 5.1 9.1
Combined 2.8 2.1
Data parsing and extraction 10.0 10.0
Domain specific 2.9 7.2
General Intelligence 5.0 10.0
Instructions following 9.8 10.0
Puzzle Solving 6.1 7.8
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models