meta-llama

Meta: Llama 3.2 3B Instruct

Meta's Llama 3.2 3B Instruct is designed for handling text inputs within an extensive context length of 131,072 tokens; however, it does not support tools, reasoning, or structured output. This model excels in processing large volumes of text data without the need for external interactions or complex analytical processes. While this model stands out with a blended benchmark score of 4.9 across one independent evaluation, making it a strong contender, its pricing at $0.05 per million input tokens and $0.33 per million output tokens could be a limiting factor for some budget-conscious users. For those prioritizing straightforward text-based tasks that do not require additional tools or reasoning capabilities, Llama 3.2 3B Instruct offers robust performance at a cost.

Quality Score
76/100
price + capability + benchmarks
Input Price
$0.05
per 1M tokens
Output Price
$0.33
per 1M tokens
Context Window
131,072
tokens

Benchmark results

Independent, published benchmarks. Blended score 4.9 across 1 benchmark, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 6.4
Model ID
meta-llama/llama-3.2-3b-instruct
Vendor
meta-llama
Released
September 2024
Tokenizer
Llama3
Input Modalities
text
Output Modalities
text
Max Output
131,072 tokens
Tool Calling
not supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.05/M input and $0.33/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.04
A month of a busy support chatbot 5M in / 2M out $0.91

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-07-23 $0.05 $0.33 131,072
2026-07-17 $0.05 $0.34 131,072

Similar models

Quick answers

How much does Meta: Llama 3.2 3B Instruct cost?
$0.05 per million input tokens and $0.33 per million output tokens.
What is Meta: Llama 3.2 3B Instruct's context window?
131,072 tokens, roughly 196 pages of text in a single request.
Does Meta: Llama 3.2 3B Instruct support tool calling?
It supports structured output.
Can Meta: Llama 3.2 3B Instruct process images?
No, it is text-only on the input side.