meta-llama

Meta: Llama 3.2 1B Instruct

The Meta Llama 3.2 1B Instruct is designed for handling text inputs within an expansive context length of up to 60,000 tokens but lacks support for tools, reasoning, or structured output. This model excels in processing extensive textual data but does not offer the flexibility of interacting with external resources or performing complex logical reasoning tasks. Given its cost at $0.027 per million input tokens and $0.201 per million output tokens, it is more suitable for applications where detailed text generation is needed on a budget, particularly when benchmark coverage is still developing. The absence of comprehensive independent benchmarks means that while the model may be effective for specific text-intensive tasks, its true performance remains to be fully validated.

Quality Score
62/100
price + capability + benchmarks
Input Price
$0.03
per 1M tokens
Output Price
$0.20
per 1M tokens
Context Window
60,000
tokens

Benchmark results

Independent, published benchmarks. Blended score 0.0 across 2 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 1.6
EQ-Bench emotional understanding in dialogue 11.0
Model ID
meta-llama/llama-3.2-1b-instruct
Vendor
meta-llama
Released
September 2024
Tokenizer
Llama3
Input Modalities
text
Output Modalities
text
Max Output
60,000 tokens
Tool Calling
not supported
Structured Output
not supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.03/M input and $0.20/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 $0.02
A month of a busy support chatbot 5M in / 2M out $0.54

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-07-22 $0.03 $0.20 60,000
2026-07-17 $0.03 $0.20 131,072

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Quick answers

How much does Meta: Llama 3.2 1B Instruct cost?
$0.03 per million input tokens and $0.20 per million output tokens.
What is Meta: Llama 3.2 1B Instruct's context window?
60,000 tokens, roughly 90 pages of text in a single request.
Can Meta: Llama 3.2 1B Instruct process images?
No, it is text-only on the input side.