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Qwen3.8 MAX (low) vs Pareto 26.9 (default)

The average score is effectively tied at 8.8 vs 8.9. Qwen3.8 MAX (low) has the lower benchmark cost at $1.089 vs $1.864. Qwen3.8 MAX (low) is faster at 25.09s vs 28.26s, with pass rates of 81.2% vs 79.7%.

Last updated at: 2026-10-15

Compared models

Rank
#56
Total Output Tokens
93,936
Response Time (avg)
25.09s
Total Cost
$1.089
Rank
#55
Total Output Tokens
175,696
Response Time (avg)
28.26s
Total Cost
$1.864
Recommended model Qwen3.8 MAX (low)

It has the best score here (8.8), while costing about 1.7x less than Pareto 26.9 (default).

Detailed comparison

Metric Qwen3.8 MAX Qwen3.8 MAX low Release: 2026-08-04 Pareto 26.9 Pareto 26.9 default Release: 2026-10-15
Score 8.8 8.9
Rank #56 #55
Reliability 10.0 10.0
Consistency 9.0 8.1
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 81.2% 79.7%
Flaky tests 3 6
Total Runs 69 69
Cost per result 5.051 12.422
Total Cost $1.089 $1.864
Input Price $2.000 / 1M $2.500 / 1M
Output Price $6.000 / 1M $7.500 / 1M
Cache Read Price N/A $0.250 / 1M
Cache Write Price N/A N/A
Total Input Tokens 262,495 218,199
Output Tokens 7,787 175,696
Reasoning Tokens 86,149 0
Response Time (avg) 25.09s 28.26s
Response Time (max) 155.75s 151.76s
Response Time (total) 577.14s 649.90s
Parameters 2.4T total (~100B active) -
Availability Closed 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.

#56 Qwen3.8 MAX

low
Cost
$0.026
Time
68.5s
Tokens
4,280 tok

#55 Pareto 26.9

default
Cost
$0.038
Time
109.6s
Tokens
5,118 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 MAX 8.4 7.4 88.9% 1 28.69s 8,127 512 15,952
Pareto 26.9 10.0 10.0 100.0% 0 49.15s 7,419 1,895 0

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