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GPT-5.5 vs GLM 5.2

The average score is effectively tied at 6.6 vs 6.6. GLM 5.2 has the lower benchmark cost at $0.250 vs $1.212. GPT-5.5 is faster at 4.75s vs 11.27s, with pass rates of 56.5% vs 63.8%.

Last updated at: 2026-10-19

Compared models

Rank
#219
Total Output Tokens
6,197
Response Time (avg)
4.75s
Total Cost
$1.212
Rank
#220
Total Output Tokens
17,685
Response Time (avg)
11.27s
Total Cost
$0.250
Recommended model GLM 5.2

It has the best score here (6.6), while costing about 4.8x less than GPT-5.5.

Detailed comparison

Metric GPT-5.5 GPT-5.5 none Release: 2026-04-24 GLM 5.2 GLM 5.2 none Release: 2026-06-17
Score 6.6 6.6
Rank #219 #220
Reliability 10.0 10.0
Consistency 9.3 9.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 56.5% 63.8%
Flaky tests 2 3
Total Runs 69 69
Cost per result 10.096 1.753
Total Cost $1.212 $0.250
Input Price $5.000 / 1M $0.153 / 1M
Output Price $30.000 / 1M $12.000 / 1M
Cache Read Price $0.500 / 1M $0.150 / 1M
Cache Write Price N/A N/A
Total Input Tokens 205,108 247,919
Output Tokens 6,197 17,685
Reasoning Tokens 0 0
Response Time (avg) 4.75s 11.27s
Response Time (max) 57.53s 79.65s
Response Time (total) 109.31s 259.32s
Parameters ~1.5T total (~100B active) 744B total (40B active)
Availability Closed Open source

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

Model generation showcase

Hamster playing table tennis

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

#219 GPT-5.5

none
Cost
$0.090
Time
54.3s
Tokens
3,063 tok

#220 GLM 5.2

none
Cost
$0.033
Time
87.7s
Tokens
7,455 tok

Top Models by Score

Score vs Total Cost

Response Time (avg)

Score vs Response Time (avg)

Total Output Tokens

Score vs Total Output Tokens

Category Breakdown

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
GPT-5.5 5.5 10.0 33.3% 0 1.35s 7,305 462 0
GLM 5.2 3.7 9.5 0.0% 0 7.55s 7,263 1,958 0

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