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uxwizz.com
#35

GLM 5V Turbo

Z.ai Release: 2026-04-01 Tested on: 2026-04-11 01:19 z-ai/glm-5v-turbo::medium
~106B total (~12B active)MoEClosedEstimated
(medium) (none)

Summary

GLM 5V Turbo scores 7.8 on AI BENCHY and ranks #35. It has N/A reliability, a 77.8% pass rate, $0.291 total cost, and 14.96s average response time.

What makes GLM 5V Turbo unique: Its total benchmark cost is unusually low for its score range.

Archived model: this model is no longer updated or tested on new tests.

Model facts

Researched on 2026-08-12

Estimated
Parameters
~106B total (~12B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Vendor does not disclose the count.

Score

7.8

Consistency

7.5

Reliability

N/A

Total Output Tokens

61,292

Total Input Tokens

0

Input Price

$1.200 / 1M

Output Price

$4.000 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 77.8%

Flaky tests

6

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

Response Time (avg)

14.96s

Response Time (max): 67.08s

Response Time (total): 269.32s

Hamster playing table tennis

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

#35 GLM 5V Turbo

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 13:09 Re-test 6.7 10.0 $0.457 Compare
2026-06-04 13:09 Re-test 6.7 10.0 $0.457 Compare
2026-06-04 13:09 New test added 7.2 10.0 $0.457 Compare
2026-05-21 23:44 Suite changed 7.4 10.0 $0.412 Compare
2026-04-11 01:19 First recorded run 7.8 N/A $0.291 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:19 · First recorded run54/54 attempts7.87.5N/A11/18661,2920$0.29114.96s
2026-06-04 13:09 · New test added63/63 attempts7.27.910.011/216100,76244,615$0.45723.08s
Difference+0.6-0.400-39470-44615-$0.166-8115ms

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

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 7.2 6.1
Coding 10.0 10.0
Combined 6.9 3.8
Data parsing and extraction 10.0 10.0
Domain specific 5.3 7.2
General Intelligence 10.0 10.0
Instructions following 9.9 10.0
Puzzle Solving 7.7 7.3
Tool Calling 7.0 3.7

Compared models