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DeepSeek V4 Pro vs GLM 5.2

The average score is effectively tied at 6.8 vs 6.7. GLM 5.2 has the lower benchmark cost at $0.153 vs $0.220. GLM 5.2 is faster at 9.65s vs 11.71s, with pass rates of 47.0% vs 63.6%.

Last updated at: 2026-09-04

Rank
#150
Total Output Tokens
35,547
Response Time (avg)
11.71s
Total Cost
$0.220
Rank
#155
Total Output Tokens
14,344
Response Time (avg)
9.65s
Total Cost
$0.153
Recommended model GLM 5.2

It has the strongest score in this comparison (6.7) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro none Release: 2026-04-24 GLM 5.2 GLM 5.2 none Release: 2026-06-17
Score 6.8 6.7
Rank #150 #155
Reliability 10.0 10.0
Consistency 8.6 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 47.0% 63.6%
Flaky tests 4 2
Total Runs 66 66
Cost per result 1.061 1.312
Total Cost $0.220 $0.153
Input Price $1.002 / 1M $0.966 / 1M
Output Price $2.004 / 1M $3.036 / 1M
Total Input Tokens 148,078 112,458
Output Tokens 35,547 14,344
Reasoning Tokens 0 0
Response Time (avg) 11.71s 9.65s
Response Time (max) 119.44s 79.65s
Response Time (total) 257.67s 212.38s
Parameters 1.6T total (49B active) 744B total (40B active)
Availability Open source Open source

Model generation showcase

Hamster playing table tennis

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

#150 DeepSeek V4 Pro

none
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 tok

#155 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
DeepSeek V4 Pro 5.6 10.0 33.3% 0 13.38s 7,275 5,500 0
GLM 5.2 3.7 9.5 0.0% 0 7.55s 7,263 1,958 0

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