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Step 3.7 Flash (low) vs GLM 5.3 FlashX (medium)

Step 3.7 Flash (low) leads on average score with 7.2 vs 7.1. GLM 5.3 FlashX (medium) has the lower benchmark cost at $0.114 vs $0.449. GLM 5.3 FlashX (medium) is faster at 7.37s vs 20.72s, with pass rates of 63.8% vs 69.6%.

Last updated at: 2026-10-01

Compared models

Rank
#147
Total Output Tokens
339,108
Response Time (avg)
20.72s
Total Cost
$0.449
Rank
#150
Total Output Tokens
30,048
Response Time (avg)
7.37s
Total Cost
$0.114
Recommended model GLM 5.3 FlashX (medium)

Its score stays close to the best score here (7.1 vs 7.2), while costing about 4.0x less than Step 3.7 Flash (low).

Detailed comparison

Metric Step 3.7 Flash Step 3.7 Flash low Release: 2026-05-29 GLM 5.3 FlashX GLM 5.3 FlashX medium Release: 2026-09-21
Score 7.2 7.1
Rank #147 #150
Reliability 10.0 10.0
Consistency 7.9 7.1
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 63.8% 69.6%
Flaky tests 6 8
Total Runs 69 69
Cost per result 4.078 0.946
Total Cost $0.449 $0.114
Input Price $0.200 / 1M $0.370 / 1M
Output Price $1.150 / 1M $1.250 / 1M
Total Input Tokens 292,685 205,100
Output Tokens 339,108 8,639
Reasoning Tokens 0 21,409
Response Time (avg) 20.72s 7.37s
Response Time (max) 124.75s 74.39s
Response Time (total) 476.67s 169.54s
Parameters 198B total (11B active) 320B total (18B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#147 Step 3.7 Flash

low
Invalid SVG
Cost
$0.004
Time
25.3s
Tokens
3,072 tok

#150 GLM 5.3 FlashX

medium
Cost
$0.002
Time
8.1s
Tokens
1,480 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
Step 3.7 Flash 8.2 7.2 88.9% 1 9.46s 7,437 18,685 0
GLM 5.3 FlashX 6.0 4.6 66.7% 2 6.37s 7,317 384 5,562

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