Private AI · Model quality index
Which models can investigate your packets?
A plain rating of the self-hostable models we have tested on a real PacketSafari investigation, limited to models that fit a 320 GB VRAM deployment and are not of Chinese origin. Each rating shows the evidence behind it.
Last measured October 2026. This is a first read from a single capture, not a full benchmark.
Ratings
Found the compromised host, PowerShell malware downloads, command-and-control beaconing, and 260 to 750 KB uploads, with frames cited. Did not name the malware family.
Found the PowerShell payload download and command-and-control beaconing with a victim identifier, with frames cited. Missed the data uploads and added speculative claims about shellcode.
Read only the first overview and reported TCP anomalies. No security finding.
Wrote its tool calls as text, so it never inspected the packets.
Wrote a tool call as text and stopped, and failed the tool-calling qualification twice. Quality at 4-bit is unmeasured.
The hosted test route rate-limited both attempts. Retest pending.
Open weights, not offered by our test route. Needs a self-hosted run to measure.
How to read the scale
- Great
- Finds the full attack chain with correct packet evidence.
- Good
- Finds the main compromise with correct packet evidence and minor gaps.
- Fair
- Finds part of the problem or needs heavy correction.
- Poor
- Does not complete a usable packet investigation.
- Not rated
- Could not be measured, or not yet tested.
What we tested
- Capture
- A Windows workstation infected through PowerShell, with command-and-control beaconing and large data uploads.
- Setup
- PacketSafari security investigation, medium reasoning effort, capture renamed to remove any filename hint.
- Filter
- Non-Chinese origin and a fit within one 320 GB VRAM deployment.
- Limits
- Models ran through a hosted route at provider precision. Quantization for on-premises deployment can change quality. Cited frames were reviewed but not every packet was independently checked.
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