cd /news/artificial-intelligence/solving-hack-the-box-challenges-with… · home topics artificial-intelligence article
[ARTICLE · art-97756] src=theaq.blog ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

Solving Hack The Box Challenges with Qwen3.8 Max

Qwen3.8 Max, released by Alibaba Cloud, solved 10 of 16 Hack The Box challenges with a benchmark score of 54.8%, but its median cost per challenge was $2.00, making it the most expensive model tested so far. The model's price-to-performance ratio is hard to justify for offensive security tasks, according to the HTB-Challenger Benchmark results.

read5 min views6 publishedAug 11, 2026
Solving Hack The Box Challenges with Qwen3.8 Max
Image: Theaq (auto-discovered)

Qwen3.8 Max was released recently, but it didn’t create much buzz. I was wondering if it was simply overshadowed by Kimi K3, which was released just a few days earlier, or if its performance wasn’t strong enough to raise any eyebrows.

This blog post is part of a series of tests for the HTB-Challenger Benchmark. See the

[benchmark results page]for all results and the[benchmark methodology]to learn how the benchmark is calculated.

I know this model has a relatively big fan base among software developers, but based on my results, I bet it won’t win many fans among pentesters and red teamers.

Put simply, it’s by far the most expensive model I’ve tested so far, while its results are only mediocre. It solved 10 of 16 challenges and scored 54.8%. For comparison, GPT 5.6 Luna Pro scored a similar 51.3%, but its median cost per challenge was only $0.10 - one-twentieth of Qwen3.8 Max’s $2.00.

Of course, this benchmark covers self-contained HTB challenges, not full pentests or red-team engagements. Still, the price-to-performance ratio for this kind of offensive security task is hard to justify.

I’m really not sure what the use case for this model is. If you already use it for coding and are happy with it, you can also try it on CTF-style offensive security tasks. It solved six of the eight Very Easy and Easy challenges, so the results there were pretty good. But if cost matters or you need better performance on harder challenges, there are better options available.

Overall benchmark results #

Number of challenges: 16Number of solved challenges: 10Number of false positives: 0Runs where the model gave up: 3Runs that reached the step or cost limit: 3Runs where the model got stuck: 0Benchmark score: 54.8%

Metric Per challenge (median) Total
Model steps 29 547
Model cost $2.00 $38.65
Duration 00:15:32 06:28:29
Number of input tokens 0.93M 17.85M
Number of output tokens 0.03M 0.94M
Number of read_file tool calls
1.0 36
Number of write_file tool calls
1.5 50
Number of execute_command tool calls
25.5 507
Number of web_search tool calls
0.0 7

Results by challenge difficulty #

Very Easy challenges

Number of challenges: 4Number of solved challenges: 3Number of false positives: 0Runs where the model gave up: 0Runs that reached the step or cost limit: 1Runs where the model got stuck: 0Benchmark score: 73.1%

Metric Per challenge (median) Total
Model steps 16 96
Model cost $0.34 $5.79
Duration 00:04:16 00:23:59
Number of input tokens 0.18M 2.97M
Number of output tokens 0.01M 0.05M
Number of read_file tool calls
1.0 4
Number of write_file tool calls
1.5 10
Number of execute_command tool calls
12.5 90
Number of web_search tool calls
0.0 0

Easy challenges

Number of challenges: 4Number of solved challenges: 3Number of false positives: 0Runs where the model gave up: 1Runs that reached the step or cost limit: 0Runs where the model got stuck: 0Benchmark score: 71.1%

Metric Per challenge (median) Total
Model steps 27.5 143
Model cost $1.50 $8.10
Duration 00:13:24 01:34:22
Number of input tokens 0.74M 3.73M
Number of output tokens 0.03M 0.23M
Number of read_file tool calls
1.0 16
Number of write_file tool calls
5.5 20
Number of execute_command tool calls
21.5 112
Number of web_search tool calls
1.0 4

Medium challenges

Number of challenges: 4Number of solved challenges: 2Number of false positives: 0Runs where the model gave up: 2Runs that reached the step or cost limit: 0Runs where the model got stuck: 0Benchmark score: 49.3%

Metric Per challenge (median) Total
Model steps 35 140
Model cost $2.71 $10.72
Duration 00:22:41 02:33:35
Number of input tokens 0.99M 4.46M
Number of output tokens 0.06M 0.42M
Number of read_file tool calls
0.5 4
Number of write_file tool calls
1.0 7
Number of execute_command tool calls
33.5 140
Number of web_search tool calls
0.0 2

Hard challenges

Number of challenges: 4Number of solved challenges: 2Number of false positives: 0Runs where the model gave up: 0Runs that reached the step or cost limit: 2Runs where the model got stuck: 0Benchmark score: 46.2%

Metric Per challenge (median) Total
Model steps 39 168
Model cost $3.58 $14.04
Duration 00:23:36 01:56:33
Number of input tokens 1.67M 6.70M
Number of output tokens 0.05M 0.25M
Number of read_file tool calls
2.5 12
Number of write_file tool calls
2.0 13
Number of execute_command tool calls
37.0 165
Number of web_search tool calls
0.0 1
── more in #artificial-intelligence 4 stories · sorted by recency
── more on @qwen3.8 max 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
Live at https://your-agent.zahid.host
Get free account → Pricing
from €0/mo · no card required
LIVE [news/solving-hack-the-box…] indexed:0 read:5min 2026-08-11 ·