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LLaMA-13B

by Meta · Released Jan 2024

Open Source
33.4
avg score
Rank #232
Compare
Better than 26% of all models
Context
N/A
Input $/1M
n/a
Output $/1M
n/a
Type
text
License
Open Source
Benchmarks
20 tested
Data as of
About

Tested on 20 benchmarks · BenchGecko score 33.4. Top scores: Chatbot Arena Elo — Overall (975.1%), TriviaQA (77.9%), LAMBADA (75.2%).

Capabilities
reasoning
9.6
#182 globally
math
11.8
#251 globally
knowledge
43.9
#173 globally
language
25.3
#152 globally
general
25.3
#143 globally
Benchmark Scores
Compare All
Tested on 20 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
BBH

BIG-Bench Hard. 23 challenging tasks from BIG-Bench where prior language models fell below average human performance.

17.2·
MUSR

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

2.0·
GSM8K

Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.

20.6·
MATH Level 5

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

3.1·
TriviaQA

Trivia questions sourced from trivia enthusiasts and quiz websites. Tests breadth of general knowledge.

77.9·
LAMBADA

Language modeling benchmark testing ability to predict the last word of passages requiring long-range context understanding.

75.2·
HellaSwag

Sentence completion requiring commonsense reasoning about physical and social situations. Tests real-world understanding.

72.3·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
llama-13b
Specifications
  • Typetext
  • ContextN/A
  • ReleasedJan 2024
  • LicenseOpen Source
  • Statusbenchmark-only
Available On
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LLaMA-13B is an open-source text AI model by Meta, released in January 2024. It has an average benchmark score of 33.4.

Key facts · as of 2026-04-09

  • LLaMA-13B by Meta. BenchGecko score 33.4, rank 232 of 312 scored models (normalized average of public benchmark scores).
  • List price n/a input · n/a output per 1M tokens (as of 2026-04-09).

How to cite · data as of 2026-04-09

LLaMA-13B · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/llama-13b

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