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uxwizz.com
#148

GLM 4.7 Flash

Z.ai Release: 2026-01-19 Tested on: 2026-05-21 23:50 z-ai/glm-4.7-flash::medium
30B total (3B active)MoEOpen source
(medium) (none)

Summary

GLM 4.7 Flash scores 4.5 on AI BENCHY and ranks #148. It has 8.3 reliability, a 35.0% pass rate, $0.054 total cost, and 35.09s 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

4.5

Consistency

6.7

Total Output Tokens

132,820

Total Input Tokens

0

Input Price

$0.060 / 1M

Output Price

$0.400 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 16

Attempt pass rate: 35.0%

Flaky tests

8

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

Response Time (avg)

35.09s

Response Time (max): 174.55s

Response Time (total): 456.18s

Hamster playing table tennis

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

#148 GLM 4.7 Flash

medium
No output was saved. The original provider response or failure reason is unavailable.
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 Current run
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.

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 3.4 6.0
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
Trivia 3.0 10.0

Compared models