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Llama 3.2 3B API

meta-llama/llama-3.2-3b-instruct

Call Llama 3.2 3B through UberLLM’s OpenAI-compatible API — from $0.0224/M input and $0.1474/M output, routed automatically to the cheapest healthy seller. Meta · 128,000 token context. Fee included.

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Llama 3.2 3B pricing

Price now · per 1M tokens
Input
$0.0224
Output
$0.1474
Cached input
$0.00336
% off list
60% off
List price · per 1M tokens
Input
$0.056
Output
$0.3685
Cached input
$0.00836
Providers and their list prices, per 1M tokens
ProviderInputOutputCached input
OpenRouter$0.0509$0.335$0.00764
Morpheus$0.10$0.50
Fireworks AI$0.15$0.60
Groq$0.15$0.60
Together AI$0.15$0.60
Venice AI$0.15$0.60$0.0225

UberLLM routes every request to the cheapest healthy seller for this model. The price shown includes UberLLM’s 10% fee.

How to use Llama 3.2 3B with the OpenAI SDK

Already using the OpenAI SDK? Change one line — the base URL — and call Llama 3.2 3B with your existing code. Anthropic SDKs work against https://api.uberllm.dev/v1/messages.

python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.uberllm.dev/v1",
    api_key="ull_your_key_here",
)

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

Llama 3.2 3B API — FAQ

How much does the Llama 3.2 3B API cost?

Llama 3.2 3B is listed from $0.0224 per million input tokens and $0.1474 per million output tokens through UberLLM, which routes each request to the cheapest healthy seller on a live marketplace and bills the price shown, which includes UberLLM's 10% fee.

How do I call Llama 3.2 3B via API?

Use any OpenAI-compatible SDK: set the base URL to https://api.uberllm.dev/v1, your UberLLM API key, and model "meta-llama/llama-3.2-3b-instruct". Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

Is Llama 3.2 3B OpenAI-compatible on UberLLM?

Yes. Every model on UberLLM — including Llama 3.2 3B — is served through one OpenAI-compatible endpoint, so you change only the base URL and key.

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