AI model comparison

meta-llama/Llama-3.1-8B-Instruct vs meta-llama/Prompt-Guard-86M

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

meta-llama/Llama-3.1-8B-Instruct from meta-llama lists 16.38K context, 16.38K maximum output, $0.02 input per 1M tokens, $0.05 output per 1M tokens. meta-llama/Prompt-Guard-86M from meta-llama lists limited public specifications. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

meta-llama

meta-llama/Llama-3.1-8B-Instruct

meta-llama/Llama-3.1-8B-Instruct is a source-linked Hugging Face repository assigned to Text generation. Its recorded task interface accepts text and produces text.

Context
16.38K
Max output
16.38K
Input / 1M tokens
$0.02
Output / 1M tokens
$0.05

Accepts

  • Text input

Produces

  • Text output
VS

meta-llama

meta-llama/Prompt-Guard-86M

meta-llama/Prompt-Guard-86M is a source-linked Hugging Face repository assigned to Text classification. Its recorded task interface accepts text and produces label.

Accepts

  • Text input

Produces

  • Label output

Specifications

Pricing, limits and capabilities

Specifications for meta-llama/Llama-3.1-8B-Instruct and meta-llama/Prompt-Guard-86M. Higher limits and lower prices describe these figures only.
Specificationmeta-llama/Llama-3.1-8B-Instructmeta-llama/Prompt-Guard-86M
Providermeta-llamameta-llama
Listed pricing routemeta-llamameta-llama
Model family——
Accepted inputstexttext
Produced outputstextlabel
Context window16.38K—
Max output16.38K—
Input price / 1M$0.02—
Output price / 1M$0.05—
Reasoning modeNot documentedNot documented
Tool callingDocumentedNot documented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented

Workload guidance

Which model should you choose?

The recorded figures alone do not establish a clear choice. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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