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Llama 3.2 1B Instruct

by Meta · Released Sep 2024

Open Source
11.7
avg score
Rank #297
Compare
Better than 5% of all models
Context
60K tokens (~30 books)
Input $/1M
$0.03
Output $/1M
$0.20
Type
text
License
Open Source
Benchmarks
11 tested
Data as of
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 11 benchmarks · BenchGecko score 11.7. Top scores: Chatbot Arena Elo — Overall (1111.1%), IFEval (58.1%), BBH (HuggingFace) (8.3%).

Capabilities
reasoning
1.9
#222 globally
math
4.3
#264 globally
knowledge
3.4
#297 globally
language
58.1
#108 globally
general
8.3
#195 globally
Benchmark Scores
Compare All
Tested on 11 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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MUSR

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

1.9·
MATH Level 5

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

8.2·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

0.5·
MMLU-PRO

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

8.2·
Balrog

Broad Assessment of Language and Reasoning Over Games. Tests strategic and logical reasoning through game scenarios.

6.6·
GPQA

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

2.4·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
llama-3-2-1b-instruct
Specifications
  • Typetext
  • Context60K tokens (~30 books)
  • ReleasedSep 2024
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
Meta logoMeta$0.03
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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 11.7. Context window: 60K tokens.

Key facts · as of 2026-10-05

  • Llama 3.2 1B Instruct by Meta. BenchGecko score 11.7, rank 297 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.0270 input · $0.20 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): Cloudflare $0.0270 in / $0.20 out.

How to cite · data as of 2026-10-05

Llama 3.2 1B Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/llama-3-2-1b-instruct

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP