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Llama 3.2 1B Instruct

by Meta

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis.

Our verdict

Not reviewed yet

We have not reviewed Llama 3.2 1B Instruct yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis.

Notes

Llama 3.2 1B Instruct is listed in the EDNA Models directory from the OpenRouter catalogue.

Key facts

What we have checked

Input price
$0.027 per million tokens
Checked OpenRouter models API
Output price
$0.201 per million tokens
Checked OpenRouter models API
Latest version
meta-llama/llama-3.2-1b-instruct
Checked OpenRouter models API
Tokens served on OpenRouter in a day
41.3M (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)
Tool calls on OpenRouter in a day
0 (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)
Artificial Analysis Intelligence Index
4.8
Checked Artificial Analysis via OpenRouter
LMArena text rating (Elo)
1,055
Checked LMArena (CC-BY-4.0), published 2026-11-09

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via OpenRouter with model id `meta-llama/llama-3.2-1b-instruct`.

  • openrouter · meta-llama/llama-3.2-1b-instruct · Docs

OpenRouter id: meta-llama/llama-3.2-1b-instruct

Price

What Llama 3.2 1B Instruct costs, over time

Input price

$0.027 to $0.027

US dollars per million input tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Output price

$0.201 to $0.201

US dollars per million output tokens. 3 Sept 2026 to 10 Nov 2026, 44 days.

Source: OpenRouter models API. Checked .

Usage

How much Llama 3.2 1B Instruct is used

Tokens served a day

22.4M to 41.3M

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Scores

How Llama 3.2 1B Instruct scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index4.8indexAs of 26 Oct 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,055EloAs of 10 Nov 2026LMArena (CC-BY-4.0), published 2026-11-09

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Deprecated

    OpenRouter lists the route meta-llama/llama-3.2-1b-instruct to expire on 20 Nov 2026.

    Source: OpenRouter models API

USAGE / OPENROUTER

How much Llama 3.2 1B Instruct is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
199M ▲1.1%
Requests, last 7 days
556K
Tool calls, last 7 days
—
People's vote
1055
Price per million tokens
$0.027 in · $0.201 out
0100M200M19 Sept: 22.4M tokens, 45.6K requests20 Sept: 116M tokens, 208K requests21 Sept: 26.5M tokens, 24.7K requests22 Sept: 6.7M tokens, 10.9K requests23 Sept: 20.9M tokens, 27.6K requests24 Sept: 50.8M tokens, 66.1K requests25 Sept: 8.6M tokens, 15.8K requests26 Sept: 5.7M tokens, 14.3K requests27 Sept: 17.3M tokens, 36.2K requests28 Sept: 21.9M tokens, 29.7K requests29 Sept: 9.8M tokens, 21.7K requests30 Sept: 38M tokens, 67.4K requests1 Oct: 7.5M tokens, 41.1K requests2 Oct: 11.3M tokens, 43.4K requests3 Oct: 6.7M tokens, 31K requests4 Oct: 12M tokens, 47.7K requests5 Oct: 52M tokens, 87.2K requests6 Oct: 75.2M tokens, 88.9K requests7 Oct: 13.3M tokens, 65.7K requests8 Oct: 16M tokens, 58.5K requests9 Oct: 83.1M tokens, 69.9K requests10 Oct: 68.2M tokens, 57.6K requests11 Oct: 20.1M tokens, 57.9K requests12 Oct: 17.5M tokens, 71.2K requests13 Oct: 26.1M tokens, 76K requests14 Oct: 18.8M tokens, 80.3K requests15 Oct: 106M tokens, 240K requests16 Oct: 45.1M tokens, 70.4K requests17 Oct: 32.4M tokens, 77.5K requests18 Oct: 23.5M tokens, 70.8K requests19 Oct: 9.8M tokens, 69K requests20 Oct: 22.1M tokens, 85K requests21 Oct: 20.9M tokens, 72.9K requests22 Oct: 13.2M tokens, 69.3K requests23 Oct: 26.3M tokens, 50.6K requests24 Oct: 24.2M tokens, 62.6K requests25 Oct: 5.7M tokens, 50.5K requests26 Oct: 7.3M tokens, 56.9K requests27 Oct: 10M tokens, 62K requests28 Oct: 10.4M tokens, 61.3K requests29 Oct: 6.1M tokens, 46.5K requests30 Oct: 18.4M tokens, 71.1K requests31 Oct: 20.6M tokens, 85.7K requests1 Nov: 64.6M tokens, 54.3K requests2 Nov: 18.1M tokens, 69.6K requests3 Nov: 59.1M tokens, 86.6K requests4 Nov: 45.8M tokens, 87K requests5 Nov: 22.6M tokens, 66.7K requests6 Nov: 10M tokens, 37.6K requests7 Nov: 53.8M tokens, 129K requests8 Nov: 7.8M tokens, 49.4K requests9 Nov: 18.1M tokens, 104K requests10 Nov: 41.3M tokens, 82.8K requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Llama 3.2 1B Instruct.

Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.

DeveloperMeta
Exact model identifiermeta-llama/llama-3.2-1b-instruct
Inputtext
Outputtext
Tool calling
Not established
Structured output
Not established
Reasoning controls
Not established
Availability
available
Price basis
token
Licence verification
Llama 3.2 Community Licence, open weights (access request)
Context length
60K tokens
Knowledge cutoff
31 Dec 2023
Developer release date
Not established
First seen in the catalogue
25 Sept 2024
Listed retirement date
20 Nov 2026
Inspect the sources and their scope
catalogue source ↗

meta-llama/llama-3.2-1b-instruct: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-07
openrouter.ai ↗

Source for first seen, context length, retirement date, input, knowledge cutoff, output.

Checked 2026-11-07
Licence source ↗

Licence declared in the meta-llama/Llama-3.2-1B-Instruct model repository on Hugging Face, which holds the weights files behind an access request. Read the licence terms before use.

Checked 2026-11-07
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 4.8 (2026-10-26) ↗
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