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uxwizz.com
#102

GLM 4.7 Flash

Z.ai Release: 2026-01-19 Tested on: 2026-04-11 01:19 z-ai/glm-4.7-flash::medium
30B total (3B active)MoEOpen source
(medium) (none)

Summary

GLM 4.7 Flash scores 4.6 on AI BENCHY and ranks #102. It has N/A reliability, a 38.9% pass rate, $0.046 total cost, and 32.33s average response time.

What makes GLM 4.7 Flash unique: Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Reported
Parameters
30B total (3B active)
Architecture
MoE
Availability
Open source
License
MIT

Score

4.6

Consistency

6.3

Reliability

N/A

Total Output Tokens

112,089

Total Input Tokens

0

Input Price

$0.060 / 1M

Output Price

$0.400 / 1M

Tests Correct

Wrong Tests: 14

Attempt pass rate: 38.9%

Flaky tests

8

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

Response Time (avg)

32.33s

Response Time (max): 174.55s

Response Time (total): 355.65s

Hamster playing table tennis

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

#102 GLM 4.7 Flash

medium
Invalid SVG
Cost
$0.000
Time
186.2s
Tokens
12,112 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:33 Re-test 4.3 8.6 $0.168 Compare
2026-07-16 22:32 New test added 4.3 7.8 $0.166 Compare
2026-06-04 13:29 New test added 4.4 6.7 $0.054 Compare
2026-05-21 23:50 Suite changed 4.5 8.3 $0.054 Compare
2026-04-11 01:19 First recorded run 4.6 N/A $0.046 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:19 · First recorded run54/54 attempts4.66.3N/A4/188112,0890$0.04632.33s
2026-06-04 13:29 · New test added63/63 attempts4.46.86.74/218132,83337,206$0.05435.10s
Difference+0.2-0.500-20744-37206-$0.009-2764ms

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 4.7 5.9
Coding 3.6 2.1
Combined 2.8 2.1
Data parsing and extraction 6.3 10.0
Domain specific 3.5 4.4
General Intelligence 3.6 9.7
Instructions following 6.2 5.8
Puzzle Solving 2.9 7.2
Tool Calling 10.0 10.0

Compared models