meta-llama

Meta: Llama 3.2 1B Instruct

meta-llama/llama-3.2-1b-instruct

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to its OpenRouter catalog listing, meta-llama/llama-3.2-1b-instruct is Meta's Llama 3.2 1B Instruct, a text-only model the listing describes as a 1-billion-parameter system aimed at efficient natural language tasks such as summarization, dialogue, and multilingual text analysis. The catalog reports a 60,000-token context window and a knowledge cutoff at the end of 2023. This profile rests on catalog data alone; no independent model card or measured benchmark results were included in this source pack.[1]

Strengths

Compact 1-billion-parameter design that the OpenRouter listing positions for efficient language processing.[1]
The catalog reports a 60,000-token context window.[1]
The source description highlights summarization, dialogue, and multilingual text analysis as focus areas.[1]

Limitations

Evidence is limited to the OpenRouter catalog; no independent model card or benchmark results were supplied, so source-reported capabilities require validation on real workloads.[1]
The catalog lists text-only input and output, plus a knowledge cutoff of December 31, 2023.[1]
The listing shows an expiration date in late November 2026, so availability on this route may change.[1]

Where to use it

Lightweight summarization or dialogue prototypes, matching the focus described in the catalog; validate on your own workload first.[1]
Multilingual text analysis tasks where a small model is preferred.[1]
Cost- or latency-sensitive deployments, given the small footprint reported by the catalog.[1]

Sources

[1] OpenRouter catalog · Meta: Llama 3.2 1B InstructSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

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. Its smaller size allows it to operate...

Specifications

Model ID: meta-llama/llama-3.2-1b-instruct
Creator: meta-llama
Added to OpenRouter: 25.09.2024
Context length: 60,000
Modality: text->text
Input modalities: text
Output modalities: text
Token pricing: USD per 1M tokens: in $0.027 / out $0.201
Knowledge cutoff: 31.12.2023
Expiration date: 20.11.2026

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	output: text
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Cloudflare	60,000	$0.027	$0.201	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.