Meta: Llama-3.1-8B-Instruct

Compact open Llama model for lightweight chat, drafting, and self-hosting

Model lab: Meta
Model family: llama

Model resources

Hugging Face

Modalitiestext → text

Context window128,000

Maximum output4,096

InputUSD 0.016 / 1M tokens

OutputUSD 0.032 / 1M tokens

Try now

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to meta/llama-3.1-8b-instruct.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "meta/llama-3.1-8b-instruct"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Llama-3.1-8B-Instruct API Pricing

Type	Price information
Input	USD 0.016 / 1M tokens
Output	USD 0.032 / 1M tokens

Benchmarks

Intelligence Index · v4.36.9

Coding Index5.4

Agentic Index—

Performance

Output speed140.04 tokens/s

Time to first token0.91 s

Time to first answer token—

End-to-end response time—

Performance trends

Throughput140.04 tok/sCurrent

Time to first token0.91 sCurrent

End-to-end latency7.1 sCurrent

Throughput

Current140.04 tok/s

Window average142.7 tok/s

Time to first token

Current0.91 s

Window average1.0 s

End-to-end latency

Current7.1 s

Window average7.5 s

Tail latency (P99)

Current31.2 s

Window average17.8 s

Prompt cache hit rate

Current26.5%

Window average23.3%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Llama-3.1-8B-Instruct Compare models

Model	Input price	Output price	Context window	Capabilities
Llama-3.1-8B-InstructThis page	USD 0.016 / 1M tokens	USD 0.032 / 1M tokens	128,000	Text output · Tool calling
Llama-3.3-70B-Instruct	USD 0.08 / 1M tokens	USD 0.256 / 1M tokens	128,000	Text output · Tool calling
Llama-3.2-1B	USD 0.08 / 1M tokens	USD 0.08 / 1M tokens	131,072	Text output
Llama-3.2-3B	USD 0.08 / 1M tokens	USD 0.08 / 1M tokens	131,072	Text output
Llama 3.2 1B Instruct	USD 0.0216 / 1M tokens · Context ≤ 60000 tokens · Maximum output 32000 tokens	USD 0.1608 / 1M tokens · Context ≤ 60000 tokens · Maximum output 32000 tokens	131,072	Text output · Tool calling

Model specifications

Input: text
Output: text
Context window: 128,000
Maximum output: 4,096
Release date: 2024-07-23
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Llama-3.1-8B-Instruct for?

Compact open Llama model for lightweight chat, drafting, and self-hosting

What inputs and outputs does Llama-3.1-8B-Instruct support?

Recorded inputs: text; outputs: text.

How is Llama-3.1-8B-Instruct priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.016 / 1M tokens; Output USD 0.032 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Llama-3.1-8B-Instruct?

Current model records list Context window 128,000 tokens; Maximum output 4,096 tokens.

What model parameter does the Quickstart use?

The example uses meta/llama-3.1-8b-instruct. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.