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DeepSeek V4.1 Flash 1017 (high) vs GLM 5.3 (high)

The average score is effectively tied at 7.8 vs 7.8. GLM 5.3 (high) has the lower benchmark cost at $0.495 vs $0.589. GLM 5.3 (high) is faster at 28.38s vs 58.56s, with pass rates of 71.0% vs 75.4%.

Last updated at: 2026-10-19

Compared models

Rank
#126
Total Output Tokens
911,334
Response Time (avg)
58.56s
Total Cost
$0.589
Rank
#128
Total Output Tokens
68,482
Response Time (avg)
28.38s
Total Cost
$0.495
Recommended model GLM 5.3 (high)

It has the best score here (7.8), while responding about 2.1x faster than DeepSeek V4.1 Flash 1017 (high).

Detailed comparison

Metric DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 high Release: 2026-10-18 GLM 5.3 GLM 5.3 high Release: 2026-08-20
Score 7.8 7.8
Rank #126 #128
Reliability 10.0 10.0
Consistency 7.8 7.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 71.0% 75.4%
Flaky tests 6 7
Total Runs 69 69
Cost per result 4.530 4.351
Total Cost $0.589 $0.495
Input Price $0.150 / 1M $0.070 / 1M
Output Price $0.600 / 1M $7.000 / 1M
Cache Read Price $0.003 / 1M $0.065 / 1M
Cache Write Price N/A N/A
Total Input Tokens 279,873 219,811
Output Tokens 7,049 8,811
Reasoning Tokens 904,285 59,671
Response Time (avg) 58.56s 28.38s
Response Time (max) 440.77s 159.91s
Response Time (total) 1346.87s 652.78s
Parameters ~748B total (~16B active) 744B total (40B active)
Availability Open source Closed

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.

#126 DeepSeek V4.1 Flash 1017

high
Cost
$0.004
Time
27.2s
Tokens
7,593 tok

#128 GLM 5.3

high
Cost
$0.085
Time
362.5s
Tokens
19,310 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 V4.1 Flash 1017 4.5 1.4 66.7% 3 196.67s 7,434 217 446,179
GLM 5.3 6.6 5.0 66.7% 2 18.89s 7,317 473 8,190

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