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uxwizz.com
#266

GLM 4.7 Flash

Z.ai Release: 2026-01-19 Tested on: 2026-08-14 01:33 z-ai/glm-4.7-flash::medium
30B total (3B active)MoEOpen source
(medium) (none)

Summary

GLM 4.7 Flash scores 4.3 on AI BENCHY and ranks #266. It has 8.6 reliability, a 31.8% pass rate, $0.168 total cost, and 134.34s average response time.

What makes GLM 4.7 Flash unique: It uses unusually many reasoning tokens, which can help explain its slower or more expensive runs.

Model facts

Researched on 2026-08-12

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

Score

4.3

Consistency

7.0

Total Output Tokens

419,534

Total Input Tokens

79,104

Input Price

$0.060 / 1M

Output Price

$0.400 / 1M

Tests Correct

Wrong Tests: 18

Attempt pass rate: 31.8%

Flaky tests

8

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

Response Time (avg)

134.34s

Response Time (max): 1539.97s

Response Time (total): 2015.13s

Hamster playing table tennis

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

#266 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 Current run
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 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)
2026-08-14 01:33 · Current run66/66 attempts4.37.08.64/228419,53479,104$0.168134.34s
2026-05-21 23:50 · Suite changed60/60 attempts4.56.78.34/208132,8200$0.05435.09s
Difference-0.2+0.3+0.300+286714+79104+$0.114+99251ms

Benchmark coverage differs: 66/66 attempts (Target: 3 repeats per test) versus 60/60 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.

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-07-16 15:36 $0.061 / 1M $0.400 / 1M
2026-08-14 12:51 $0.060 / 1M $0.400 / 1M

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 3.2 7.4
Combined 2.9 6.0
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
Trivia 3.0 10.0

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