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Llama 3.2 3B Instruct

The smallest Llama instruct model — the cheapest way to run classification, routing and short replies at scale.

meta/llama-3.2-3b-instruct
Retired· verified 4h agoThis model has been retired by its provider and is no longer served.

What is Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is Meta's chat model. The smallest Llama instruct model — the cheapest way to run classification, routing and short replies at scale. It runs on Speka's OpenAI-compatible /v1/chat/completions endpoint at $0.03 / 1M input and $0.03 / 1M output tokens, using the model ID meta/llama-3.2-3b-instruct.

Test it live

Live playgroundLlama 3.2 3B Instructin-browser demo

Test Llama 3.2 3B Instruct live

Send a message and watch the model respond. Multi-turn — it remembers the conversation.

How to call Llama 3.2 3B Instruct via the API

Speka exposes Llama 3.2 3B Instruct on an OpenAI-compatible /v1/chat/completions endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to meta/llama-3.2-3b-instruct, and your existing code runs unchanged.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://speka.me/v1",
    api_key="sk-speka-live-...",  # your Speka key
)

resp = client.chat.completions.create(
    model="meta/llama-3.2-3b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ

Frequently asked questions

Llama 3.2 3B Instruct is Meta's chat model. The smallest Llama instruct model — the cheapest way to run classification, routing and short replies at scale. It is available on Speka's OpenAI-compatible API using the model ID meta/llama-3.2-3b-instruct.
On Speka, Llama 3.2 3B Instruct is priced at $0.03 / 1M input and $0.03 / 1M output tokens. Pricing is per-token with no subscription or seat fee — usage is billed against your plan's monthly allowance, then at the same rate with no overage penalty. Rates are current as of June 2026; check the pricing page for updates.
Speka exposes Llama 3.2 3B Instruct on an OpenAI-compatible /v1/chat/completions endpoint. Set base_url to https://speka.me/v1, supply your Speka key, and set model to "meta/llama-3.2-3b-instruct" in any OpenAI SDK — no other code changes are required.
Llama 3.2 3B Instruct supports a 128,000-token context window — roughly 96,000 words of input, suitable for long documents, multi-turn agents, and large-context tasks.
Yes. Llama 3.2 3B Instruct is served through Speka's OpenAI-compatible endpoint, so any application built on the OpenAI Python or Node.js SDK, LangChain, or LlamaIndex can call it by changing only the base URL and model ID.

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