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DeepSeek V3.2 (medium) vs GLM 5.1 (medium)

The average score is effectively tied at 7.0 vs 7.0. DeepSeek V3.2 (medium) has the lower benchmark cost at $0.078 vs $0.948. GLM 5.1 (medium) is faster at 58.80s vs 68.43s, with pass rates of 65.2% vs 65.2%.

Last updated at: 2026-08-29

Rank
#119
Total Output Tokens
128,787
Response Time (avg)
68.43s
Total Cost
$0.078
Rank
#120
Total Output Tokens
215,889
Response Time (avg)
58.80s
Total Cost
$0.948
Recommended model DeepSeek V3.2 (medium)

It has the best score here (7.0), while costing about 12.3x less than GLM 5.1 (medium).

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 medium Release: 2025-12-01 GLM 5.1 GLM 5.1 medium Release: 2026-04-07
Score 7.0 7.0
Rank #119 #120
Reliability 10.0 8.1
Consistency 7.4 8.4
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 65.2% 65.2%
Flaky tests 7 4
Total Runs 66 66
Cost per result 0.672 6.923
Total Cost $0.078 $0.948
Input Price $0.269 / 1M $1.260 / 1M
Output Price $0.400 / 1M $3.961 / 1M
Total Input Tokens 101,056 82,592
Output Tokens 11,832 16,089
Reasoning Tokens 116,955 199,800
Response Time (avg) 68.43s 58.80s
Response Time (max) 376.10s 308.75s
Response Time (total) 1505.53s 1234.72s
Parameters 671B total (37B 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.

#119 DeepSeek V3.2

medium
Cost
$0.001
Time
53.6s
Tokens
1,932 tok

#120 GLM 5.1

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 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 V3.2 6.0 7.2 55.6% 1 248.68s 5,717 649 52,014
GLM 5.1 4.6 3.7 44.5% 2 109.63s 5,702 4,871 37,826

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