HACXGPT
NINJA RED
> Our most powerful model ever developed.
> Precision-engineered for Red Teaming and complex code exploitation.
> 2x performance jump in terminal and telecom benchmarks.
Unmatched Capabilities
Ninja Red represents a paradigm shift in our model development. It features significantly improved Agentic and coding capabilities, allowing it to handle complex multi-step tasks that stymie previous generation models.
Designed around quality and surgical precision, Ninja Red excels in Red Teaming tasks such as finding vulnerabilities, exploit discovery, and advanced script writing. It is the definitive all-round model for the security professional.
Designed for Red Teaming
Unlike generic LLMs, Ninja Red is optimized for the offensive security lifecycle. It provides deep reasoning for vulnerability research and payload generation.
Technical Specifications
Elite
Benchmark Jump
Ethical Use
All HacxGPT models are designed for ethical purposes only. Power comes with responsibility. Ninja Red is uncensored and unrestricted, but users are responsible for their own actions.
Prompting
Use clear English for optimal results. Supports multiple languages, but native English yields highest precision in code generation and reasoning.
LEADERBOARD / NINJA RED
| RANK | MODEL | CREATOR | TERMINAL | TELECOM | SICCODE | AVG |
|---|---|---|---|---|---|---|
| 1 | GPT-5.5 (xhigh) | OpenAI | 61% | 94% | 56% | 70% |
| 2 | Gemini 3.1 Pro Preview | 54% | 96% | 59% | 70% | |
| 3 | Claude Opus 4.7 (max) | Anthropic | 52% | 89% | 55% | 65% |
| 4 | DeepSeek V4 Pro (Max) | DeepSeek | 46% | 96% | 50% | 64% |
| 5 ★ | HacxGPT Ninja Red | HacxGPT | 40% | 94% | 42% | 60% |
| 6 | Claude Opus 4.5 (NR) | Anthropic | 41% | 86% | 47% | 58% |
| 7 | DeepSeek V3.2 | DeepSeek | 37% | 91% | 39% | 56% |
| 8 | Qwen3.6 27B | Alibaba | 35% | 94% | 40% | 56% |
| 9 | Mistral Medium 3.5 | Mistral | 33% | 94% | 40% | 56% |
| 10 | GPT-5.1 Codex (high) | OpenAI | 35% | 83% | 40% | 53% |
| ↓ | Lightning 1.1 (old) | HacxGPT | 19% | 48% | 42% | 36% |
★ Avg = mean of Terminal Bench Hard, Bench Telecom, and Siccode scores
★ Ninja Red beats DeepSeek V3.2, Mistral, Qwen, and GPT-5.1 Codex
★ Ninja Red is roughly 2x better than Lightning 1.1 overall | 2x on Terminal | 2x on Telecom