For some personal observations about this model, please see the Solving Hack The Box Challenges with GPT-5.6 post.


HTB-Challenger Benchmark

This blog post is part of a series of tests for the HTB-Challenger BenchmarkThe HTB-Challenger Benchmark evaluates LLMs’ ability to find and exploit security vulnerabilities. It tests models against selected Hack The Box challenges of varying difficulty and measures their performance. For more information, visit the HTB-Challenger Benchmark page. . See the benchmark results page for all results and the benchmark methodology to learn how the benchmark is calculated.



HTB-Challenger Benchmark LLM model card

Cost vs. Benchmark Score

The highlighted point is this model. Models closer to the upper-left achieve a higher benchmark score at a lower median cost per challenge.

Cost vs. Benchmark Score with this model highlighted

Overall benchmark results

  • Number of challenges: 16
  • Number of solved challenges: 12
  • Number of false positives: 0
  • Runs where the model gave up: 4
  • Runs that reached the step or cost limit: 0
  • Runs where the model got stuck: 0
  • Benchmark score: 64.6%
Metric Per challenge (median) Total
Model steps 16.5 428
Model cost $0.24 $10.38
Duration 00:03:16 02:29:17
Number of input tokens 0.23M 16.61M
Number of output tokens 0.01M 0.26M
Number of read_file tool calls 0.0 18
Number of write_file tool calls 0.0 6
Number of execute_command tool calls 15.5 418
Number of web_search tool calls 0.0 6

Results by challenge difficulty

All resource-usage metrics are medians per challenge.

Metric Very Easy Easy Medium Hard
Results        
Number of challenges 4 4 4 4
Number of solved challenges 4 3 3 2
Number of false positives 0 0 0 0
Runs where the model gave up 0 1 1 2
Runs that reached the step or cost limit 0 0 0 0
Runs where the model got stuck 0 0 0 0
Benchmark score 98.9% 73.8% 72.1% 45.9%
Median per challenge        
Model steps 6 13 23.5 32
Model cost $0.05 $0.14 $0.45 $0.89
Duration 00:00:39 00:02:52 00:05:19 00:08:06
Number of input tokens 0.03M 0.12M 0.70M 1.59M
Number of output tokens 0.00M 0.01M 0.02M 0.02M
Number of read_file tool calls 0.5 0.5 0.0 0.5
Number of write_file tool calls 0.0 0.0 0.0 0.0
Number of execute_command tool calls 4.5 11.0 22.5 35.5
Number of web_search tool calls 0.0 0.5 0.0 0.0