Llama 3.2 1B Instruct
Where it stands
Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.
About this model
Llama 3.2 1B Instruct is an AI model from Meta, made available through the API on September 25, 2024. It can read up to 60,000 tokens in one request, roughly 113 pages of text, and write up to 54,000 tokens in a single answer.
Through the API it costs $0.027 per million input tokens and $0.20 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
Its weights are openly published (meta-llama/Llama-3.2-1B-Instruct), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →- GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.23.9%#115 of 116
- AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.0.6%#112 of 112
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Llama 3.2 1B Instruct through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "meta-llama/llama-3.2-1b-instruct", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="meta-llama/llama-3.2-1b-instruct",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "meta-llama/llama-3.2-1b-instruct",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.074
- Summarise a 100-page document$0.0016
- An app with 10,000 requests a day for a month$32.22
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News about Meta
See all →Frequently asked questions
- How much does Llama 3.2 1B Instruct cost?
- Llama 3.2 1B Instruct costs $0.027 per million input tokens and $0.20 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.074.
- What is the context window of Llama 3.2 1B Instruct?
- Llama 3.2 1B Instruct can read up to 60,000 tokens in one request, about 113 pages of text. It can write up to 54,000 tokens in a single answer.
- Is Llama 3.2 1B Instruct open source?
- Yes. Its weights are published (meta-llama/Llama-3.2-1B-Instruct), so you can download it and run it on your own hardware, or use it through one of 1 API providers.
- Who makes Llama 3.2 1B Instruct?
- Llama 3.2 1B Instruct is made by Meta. It became available through the API on September 25, 2024.
- How good is Llama 3.2 1B Instruct?
- Llama 3.2 1B Instruct has an overall index of 102.0 in Epoch AI’s independent tests, ranking #136 of 136 models we track.
- Can Llama 3.2 1B Instruct read images?
- No. Llama 3.2 1B Instruct only accepts text as input.
- What are the alternatives to Llama 3.2 1B Instruct?
- Models with a similar price from other companies include Nex-N2.5-Mini, Schematron V2 Turbo and Qwen3.7 Flash. You can compare them side by side on this page.