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Compared models

GLM 5.3 Flash (max) vs DeepSeek V4 Flash 0731 (high) vs Qwen3.8 27B (high) vs GLM 5.3 (high) benchmark comparison: GLM 5.3 Flash (max) leads on Score with 9.0. GLM 5.3 Flash (max) leads on Reliability with 10.0. GLM 5.3 Flash (max) has the lowest Total Cost at $0.089. GLM 5.3 (high) is fastest at 28.38s.

Last updated at: 2026-10-13

Compared models

Rank
#50
Total Output Tokens
216,119
Response Time (avg)
54.04s
Total Cost
$0.089
Rank
#82
Total Output Tokens
448,665
Response Time (avg)
118.83s
Total Cost
$0.576
Rank
#61
Total Output Tokens
677,080
Response Time (avg)
166.34s
Total Cost
~$0.298
Rank
#119
Total Output Tokens
68,482
Response Time (avg)
28.38s
Total Cost
$0.495
Recommended model GLM 5.3 Flash (max)

It has the best score here (9.0), while costing about 5.2x less than the other models in this comparison.

Detailed comparison

Metric GLM 5.3 Flash GLM 5.3 Flash max Release: 2026-08-26 DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 high Release: 2026-08-01 Qwen3.8 27B Qwen3.8 27B high Release: 2026-08-14 Free Available GLM 5.3 GLM 5.3 high Release: 2026-08-20
Score 9.0 8.4 8.7 7.8
Rank #50 #82 #61 #119
Reliability 10.0 10.0 9.7 10.0
Consistency 9.0 8.1 9.2 7.6
Attempts 69/69 69/69 69/69 69/69
Tests Correct
Attempt pass rate 82.6% 76.8% 78.3% 75.4%
Flaky tests 3 5 2 7
Total Runs 69 69 69 69
Cost per result 0.519 1.069 ~1.751 4.351
Total Cost $0.089 $0.576 ~$0.298 $0.495
Input Price $0.150 / 1M $0.005 / 1M N/A $0.070 / 1M
Output Price $0.500 / 1M $1.280 / 1M N/A $7.000 / 1M
Cache Read Price $0.030 / 1M $0.005 / 1M N/A $0.065 / 1M
Cache Write Price N/A N/A N/A N/A
Total Input Tokens 255,743 281,863 348,967 219,811
Output Tokens 8,684 24,535 1,005 8,811
Reasoning Tokens 207,435 507,976 676,075 59,671
Response Time (avg) 54.04s 118.83s 166.34s 28.38s
Response Time (max) 333.47s 600.61s 640.85s 159.91s
Response Time (total) 1242.97s 2733.01s 3825.81s 652.78s
Parameters 320B total (18B active) 284B total (13B active) 27.3B 744B total (40B active)
Availability Open source Closed Weights available 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.

#50 GLM 5.3 Flash

max
Cost
$0.005
Time
296.5s
Tokens
16,250 tok

#82 DeepSeek V4 Flash 0731

high
No output was saved. The original provider response or failure reason is unavailable.
Cost
$0.000
Time
187.3s
Tokens
19,048 tok

#61 Qwen3.8 27B

high
Cost
~$0.008
Time
270.1s
Tokens
18,963 tok

#119 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
GLM 5.3 Flash 10.0 10.0 100.0% 0 43.37s 7,317 381 23,692
DeepSeek V4 Flash 0731 6.3 6.3 55.6% 1 252.67s 7,044 2,160 191,210
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335
GLM 5.3 6.6 5.0 66.7% 2 18.89s 7,317 473 8,190

Quick Compare

Switch Comparison Pair

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