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meta-llama/Llama-3.2-3B-Instruct-Turbo

A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.

🔧Tool calling
Try meta-llama/Llama-3.2-3B-Instruct-TurboCompareDocs

Specifications

Context window131K tokens
Max output—
API typechat
AddedJan 30, 2025
Model IDtogether/meta-llama/Llama-3.2-3B-Instruct-Turbo
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyTogether AI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Together AI Inc. models overview.

Pricing

Input / 1M
$0.06
Output / 1M
$0.06
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0066
1M input + 100K output$0.0660
10M input + 1M output$0.66

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to together/meta-llama/Llama-3.2-3B-Instruct-Turbo.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="together/meta-llama/Llama-3.2-3B-Instruct-Turbo",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does meta-llama/Llama-3.2-3B-Instruct-Turbo cost?
meta-llama/Llama-3.2-3B-Instruct-Turbo is priced at $0.06 per million input tokens and $0.06 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of meta-llama/Llama-3.2-3B-Instruct-Turbo?
meta-llama/Llama-3.2-3B-Instruct-Turbo has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
What can meta-llama/Llama-3.2-3B-Instruct-Turbo do?
meta-llama/Llama-3.2-3B-Instruct-Turbo supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use meta-llama/Llama-3.2-3B-Instruct-Turbo with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "together/meta-llama/Llama-3.2-3B-Instruct-Turbo". The Quickstart above shows Python, JavaScript and cURL snippets.

Access meta-llama/Llama-3.2-3B-Instruct-Turbo through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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