HacxGPT Lightning: The Best Unrestricted LLM

We are proud to announce HacxGPT Lightning, a state-of-the-art, high-performance Large Language Model engineered for complex reasoning and demanding technical tasks. Built on a lightweight yet powerful Mixture-of-Experts (MoE) architecture, HacxGPT Lightning delivers exceptional speed and intelligence, accessible now via our dedicated API. Unrestricted by Design

HacxGPT Lightning operates without the conventional content filters that limit the capabilities of other mainstream models. This unrestricted nature is specifically designed to empower professionals and researchers in specialized fields. It unlocks new possibilities for a wide range of applications, including:

Cybersecurity Research, Red Teaming & Penetration Testing, Vulnerability Analysis, Exploit and Proof-of-Concept (PoC) Development, etc.


Ethical Use Disclaimer


The term "unrestricted" signifies the model's capacity to engage with sensitive topics for legitimate research and defense purposes. It is not an endorsement of illegal or malicious activities. All users are expected to adhere to ethical guidelines and applicable laws. Our goal is to push the boundaries of AI for constructive innovation, not to facilitate harm.

Architecture & Training

While the specifics of our proprietary training data and fine-tuning methodologies are confidential, we can confirm that HacxGPT Lightning is built upon a powerful, commercially-permissive open-source foundation. Its advanced Mixture-of-Experts (MoE) architecture is key to its efficiency, enabling it to activate specialized neural network pathways for different tasks. This results in faster inference speeds and superior performance on niche domains without the computational overhead of a single, monolithic model.

Performance & Benchmarks

Boasting an expansive 256k context window, HacxGPT Lightning can process and reason over vast amounts of information in a single prompt. In rigorous testing, HacxGPT Lightning demonstrates highly competitive performance, outclassing or matching many leading general and specialized models. The following charts illustrate our performance across key industry benchmarks for reasoning, scientific knowledge, and advanced coding.

Note: Benchmark data for competing models is sourced from official publications and reputable third-party evaluations to ensure a fair comparison.

MMLU-Pro (Reasoning & Knowledge)

88%
Claude 4.1 Opus
87%
GPT-5 (high)
87%
Grok 4
86%
Gemini 2.5 Pro
85%
o3
85%
DeepSeek V3.1
84%
Claude 4 Sonnet
84%
GLM-4.5
83%
HacxGPT Lighning
83%
Gemini 2.5 Flash
82%
Kimi K2 0905
82%
EXAONE 4.0 32B
81%
Llama Nemotron Super 49B v1.5
81%
gpt-oss-120B (high)
81%
GPT-4.1

GPQA Diamond (Scientific Reasoning)

88%
Grok 4
85%
GPT-5 (high)
84%
Gemini 2.5 Pro
83%
o3
81%
Claude 4.1 Opus
79%
HacxGPT Lighning
78%
gpt-oss-120B (high)
78%
GLM-4.5
78%
DeepSeek V3.1
78%
Claude 4 Sonnet
77%
Kimi K2 0905
75%
Llama Nemotron Super 49B v1.5
74%
DeepSeek V3.1
67%
GPT-4.1

LiveCodeBench (Coding)

82%
Grok 4
80%
Gemini 2.5 Pro
78%
o3
78%
DeepSeek V3.1
75%
EXAONE 4.0 32B
74%
GLM-4.5
74%
Llama Nemotron Super 49B v1.5
72%
HacxGPT Lighning
70%
Gemini 2.5 Flash
67%
GPT-5 (high)
66%
Claude 4 Sonnet
65%
Claude 4.1 Opus
64%
gpt-oss-120B (high)
61%
Kimi K2 0905
58%
DeepSeek V3.1
46%
GPT-4.1

SciCode (Coding)

46%
Grok 4
43%
GPT-5 (high)
43%
Gemini 2.5 Pro
41%
o3
41%
Claude 4.1 Opus
40%
Claude 4 Sonnet
39%
Gemini 2.5 Flash
39%
HacxGPT Lighning
38%
GPT-4.1
37%
DeepSeek V3.1
36%
gpt-oss-120B (high)
35%
Llama Nemotron Super 49B v1.5
35%
GLM-4.5
34%
EXAONE 4.0 32B
31%
Kimi K2 0905