Llama 3.1 8B Instruct AI Evaluation | LayerLens - Benchmark Results & Performance

Model

Llama 3.1 8B Instruct by Meta

text->text

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Llama 3.1 8B Instruct is Meta’s instruction-tuned language model released on July 23, 2024. Designed for deployment in resource-constrained environments, it delivers strong performance on common tasks and maintains impressive instruction-following capabilities for its size class.

Evaluations

across 9 benchmarks

Latency

256ms

Context length

131k

tokens

Cost

$0.02 · $0.03

input · output per 1M tokens

Key takeaways

Llama 3.1 8B Instruct is a Transformer-based, instruction-tuned text generation model for resource-constrained environments.
It performs well on basic mathematical operations and explicit textual evidence, achieving 46.86% accuracy on AGIEval English and moderate performance in factual recall across academic subjects.
The model struggles significantly with complex, multi-step mathematical problems (0% on AIME 2025 benchmark) and nuanced inferential reasoning, showing inconsistency even within the same academic subject.
Common failure modes include misinterpreting logical implications, calculation errors, misapplication of theorems, hallucinations in reasoning, and inability to connect multiple pieces of information.
Despite identifying relevant concepts and outlining plausible approaches, the model consistently fails to produce correct numerical answers in advanced math due to misapplication of theorems and logical fallacies.

Technical specifications

Context length: 131k tokens
Max output: —
Architecture: Transformer
Modalities: text->text
Parameters: ~8B
Open weights: Yes
Licence: Meta AUP
Regions: USA
Vendor: Meta
Provider model key: meta-llama/llama-3.1-8b-instruct