LLM Reference

Prompt Guard 86M

Released
2024-07-23
Last refreshed
2026-07-09
Status
Researched 244d ago
Open weightsCommercial use: conditionalClassification

Prompt Guard 86M is worth evaluating for classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating classification
  • Workloads that can use a 512 context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-07-23
Context
512
Parameters
279M
Architecture
Decoder Only
Specialization
safety
Openness
Open weights
License
Llama 3 CommunityCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.050
Input / 1M
$0.050

Cheapest of 1 route · Microsoft Foundry

About

PromptGuard is a classifier model trained on a large corpus of attacks, which is capable of detecting both explicitly malicious prompts (Jailbreaks) as well as prompts that contain injected inputs (Prompt Injections).

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Classification

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.