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DeepSeek V4 Pro (high) vs GLM 5.2 (medium)

GLM 5.2 (medium) leads on average score with 7.8 vs 7.7. GLM 5.2 (medium) has the lower benchmark cost at $0.176 vs $0.200. GLM 5.2 (medium) is faster at 23.28s vs 79.14s, with pass rates of 63.6% vs 80.3%.

Last updated at: 2026-08-01

Rank
#58
Total Output Tokens
189,181
Response Time (avg)
79.14s
Total Cost
$0.200
Rank
#49
Total Output Tokens
61,761
Response Time (avg)
23.28s
Total Cost
$0.176
Recommended model GLM 5.2 (medium)

It has the best score here (7.8), while responding about 3.4x faster than DeepSeek V4 Pro (high).

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24 GLM 5.2 GLM 5.2 medium Release: 2026-06-17
Score 7.7 7.8
Rank #58 #49
Reliability 10.0 9.5
Consistency 7.7 8.0
Tests Correct
Attempt pass rate 63.6% 80.3%
Flaky tests 6 4
Total Runs 66 63
Cost per result 2.000 2.159
Total Cost $0.200 $0.176
Input Price $0.435 / 1M $0.761 / 1M
Output Price $0.870 / 1M $2.389 / 1M
Total Input Tokens 90,748 37,199
Output Tokens 10,462 12,261
Reasoning Tokens 178,719 49,500
Response Time (avg) 79.14s 23.28s
Response Time (max) 416.76s 101.36s
Response Time (total) 1740.97s 488.94s

Model generation showcase

Hamster playing table tennis

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

#58 DeepSeek V4 Pro

high
Cost
$0.023
Time
257.6s
Tokens
14,870 tok

#49 GLM 5.2

medium
Cost
$0.041
Time
195.8s
Tokens
9,287 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 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
GLM 5.2 8.2 7.2 88.9% 1 40.96s 7,317 1,475 17,123

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