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Qwen3.8 27B (high) vs GLM 5.3 FlashX (max)

The average score is effectively tied at 8.4 vs 8.3. Qwen3.8 27B (high) has the lower benchmark cost at ~$0.287 vs $0.508. GLM 5.3 FlashX (max) is faster at 41.21s vs 167.89s, with pass rates of 77.3% vs 78.8%.

Last updated at: 2026-09-21

Compared models

Rank
#60
Total Output Tokens
656,635
Response Time (avg)
167.89s
Total Cost
~$0.287
Rank
#63
Total Output Tokens
375,734
Response Time (avg)
41.21s
Total Cost
$0.508
Recommended model GLM 5.3 FlashX (max)

It has the best score here (8.3), while responding about 4.1x faster than Qwen3.8 27B (high).

Detailed comparison

Metric Qwen3.8 27B Qwen3.8 27B high Release: 2026-08-14 GLM 5.3 FlashX GLM 5.3 FlashX max Release: 2026-09-21
Score 8.4 8.3
Rank #60 #63
Reliability 9.6 10.0
Consistency 9.2 8.3
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 77.3% 78.8%
Flaky tests 2 5
Total Runs 66 66
Cost per result ~1.792 3.381
Total Cost ~$0.287 $0.508
Input Price N/A $0.370 / 1M
Output Price N/A $1.250 / 1M
Total Input Tokens 100,179 101,211
Output Tokens 904 6,301
Reasoning Tokens 655,731 369,433
Response Time (avg) 167.89s 41.21s
Response Time (max) 640.85s 390.70s
Response Time (total) 3693.54s 906.52s
Parameters 27.3B 320B total (18B active)
Availability Weights available Closed

Model generation showcase

Hamster playing table tennis

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

#60 Qwen3.8 27B

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

#63 GLM 5.3 FlashX

max
Cost
$0.046
Time
251.3s
Tokens
36,769 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
Qwen3.8 27B 8.1 7.0 88.9% 1 248.62s 8,235 346 143,335
GLM 5.3 FlashX 8.2 7.2 88.9% 1 24.61s 7,317 463 36,503

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