Llama 3.2 3B — Meta | Modeldex

Llama 3.2 3B

Active

Small on-device model for edge and mobile deployments.

Updated 3 days agoStructured data from Modeldex catalog

AgenticOpen source

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Llama 3.2 3B is designed for on-device inference, including mobile devices and edge hardware, with strong performance at the 3B parameter scale.

History

Llama 3.2 3B was released on 2024-09-25.

Training & availability

Weights are publicly available under the Llama 3.2 Community License license, making this an open-weight model suitable for on-prem deployment and fine-tuning.

Capabilities

Context window: 128K tokens.
Max output: 4K tokens.
Input modalities: text.

Recommended for: agentic, open-source.

Limitations

Text-only — cannot process images, audio, or video inputs.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="meta/llama-3-2-3b",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.051/1M

Output tokens / month2.0M

@ $0.34/1M

Input cost

$0.255

5.0M × $0.051/1M

Output cost

$0.68

2.0M × $0.34/1M

Total / month

$0.935

$11.22 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.