How much does Llama 3.2 1B Instruct cost?

Llama 3.2 1B Instruct costs $0.03 per million input tokens and $0.20 per million output tokens. For a typical conversation (~2,000 tokens), that's approximately $0.000 per message.

What benchmarks has Llama 3.2 1B Instruct been tested on?

Llama 3.2 1B Instruct has been evaluated on 7 benchmarks. Top scores: Chatbot Arena Elo — Overall: 1110.2, IFEval: 58.1, BBH (HuggingFace): 8.3.

Is Llama 3.2 1B Instruct open source?

Yes, Llama 3.2 1B Instruct is open source.

How does Llama 3.2 1B Instruct compare to INTELLECT-1?

Llama 3.2 1B Instruct has an average score of 19.9 while INTELLECT-1 scores 19.8. Llama 3.2 1B Instruct outperforms INTELLECT-1 overall. See full comparison →

Home/Models/Llama 3.2 1B Instruct

Llama 3.2 1B Instruct

Name: Llama 3.2 1B Instruct
Price: 0.027 USD
Author: Meta

by Meta · Released Sep 2024

Open Source

19.9

avg score

Rank #205

Compare

Better than 12% of all models

Context

60K tokens (~30 books)

Input $/1M

$0.03

Output $/1M

$0.20

Type

text

License

Open Source

Benchmarks

7 tested

Data updated today

About

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...

Tested on 7 benchmarks with 14.5% average. Top scores: Chatbot Arena Elo — Overall (1110.2%), IFEval (58.1%), BBH (HuggingFace) (8.3%).

Capabilities

reasoning

1.9

#178 globally

math

8.2

#192 globally

knowledge

5.3

#219 globally

general

8.3

#51 globally

language

58.1

#90 globally

Benchmark Scores

Compare All

Tested on 7 benchmarks · Ranked across 6 categories

Score Distribution (all 233 models)

0255075100

▲ You are here

reasoningCompare reasoning →

MUSR

HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.

1.9—

mathCompare math →

MATH Level 5

HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.

8.2—

knowledgeCompare knowledge →

MMLU-PRO

HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.

8.2—

GPQA

HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.

2.4—

Quick compare:

vs INTELLECT-1

vs QwQ 32B

vs Qwen3 4B Instruct 2507

Excellent (85+) Good (70-85) Average (50-70) Below (<50)

Model Family · Meta Llama 3.2

Llama 3.2 11B Vision InstructSep 2024

$0.24/M in131Kctx

Llama 3.2 1B InstructSep 2024

14.5+14.5

$0.03/M in(-0.22)60Kctx(-71K)7 benchmarks

Llama 3.2 3B InstructSep 2024

24.2+9.7

$0.05/M in(+0.02)80Kctx(+20K)7 benchmarks

Llama 3.2 3B Instruct (free)Sep 2024

8.7-15.5

$0.00/M in(-0.05)131Kctx(+51K)6 benchmarks

Llama 3.2 90BJan 2024

36.1+27.4

N/AN/Actx6 benchmarks

See the full Llama 3.2 family →

Similar Models

Qwen3 4B Instruct 2507

Alibaba

20.3TBD

Links

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llama-3-2-1b-instruct

Specifications

Typetext
Context60K tokens (~30 books)
ReleasedSep 2024
LicenseOpen Source
StatusActive
Cost / Message~$0.000

Available On

Meta$0.03

Frequently Asked Questions

Llama 3.2 1B Instruct is an open-source text AI model by Meta, released in September 2024. It has an average benchmark score of 19.9. Context window: 60K tokens.

Benchmarks

Chatbot Arena Elo — Overall IFEval BBH (HuggingFace)MMLU-PRO MATH Level 5

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Llama 3.2 1B Instruct

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