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.


HTB-Challenger Benchmark

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 9 of 16 challenges and scored 47.5%. For comparison, GPT 5.6 Luna Pro scored a similar 55.0%, 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.


HTB-Challenger Benchmark LLM model card

Overall benchmark results

  • Number of challenges: 16
  • Number of solved challenges: 9
  • Number of false positives: 0
  • Runs where the model gave up: 3
  • Runs that reached the step or cost limit: 3
  • Benchmark score: 47.5%
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: 4
  • Number of solved challenges: 3
  • Number of false positives: 0
  • Runs where the model gave up: 0
  • Runs that reached the step or cost limit: 1
  • Benchmark score: 75.0%
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: 4
  • Number of solved challenges: 3
  • Number of false positives: 0
  • Runs where the model gave up: 1
  • Runs that reached the step or cost limit: 0
  • Benchmark score: 75.0%
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: 4
  • Number of solved challenges: 2
  • Number of false positives: 0
  • Runs where the model gave up: 2
  • Runs that reached the step or cost limit: 0
  • Benchmark score: 50.0%
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: 4
  • Number of solved challenges: 1
  • Number of false positives: 0
  • Runs where the model gave up: 0
  • Runs that reached the step or cost limit: 2
  • Benchmark score: 25.0%
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