meta-llama

Meta: Llama 3.1 8B Instruct

The Meta: Llama 3.1 8B Instruct model is designed for text-based tasks with an extensive context length of 131,072 tokens and supports tool integration but lacks reasoning capabilities or structured output formatting. It can process input from text alone, making it suitable for scenarios where text-based responses are sufficient. For those prioritizing cost-effectiveness and looking to perform general text generation tasks without complex reasoning, Llama 3.1 stands out with its competitive pricing of $0.05 per million input tokens and $0.08 per million output tokens. Its blended benchmark score of 6.0 across three independent evaluations places it in a middle tier, suggesting it is robust for many applications but may not excel in specialized tasks like coding or highly agentic interactions.

Quality Score
86/100
price + capability + benchmarks
Input Price
$0.05
per 1M tokens
Output Price
$0.08
per 1M tokens
Context Window
131,072
tokens

Benchmark results

Independent, published benchmarks. Blended score 6.0 across 3 benchmarks, last refreshed 2026-07-22. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 12.6
AI Index Coding software engineering tasks 8.9
AI Index Agentic multi-step tool-using tasks 0.9
Model ID
meta-llama/llama-3.1-8b-instruct
Vendor
meta-llama
Released
July 2024
Tokenizer
Llama3
Input Modalities
text
Output Modalities
text
Max Output
131,072 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.05/M input and $0.08/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 $0.03
A month of a busy support chatbot 5M in / 2M out $0.41

Similar models

Quick answers

How much does Meta: Llama 3.1 8B Instruct cost?
$0.05 per million input tokens and $0.08 per million output tokens.
What is Meta: Llama 3.1 8B Instruct's context window?
131,072 tokens, roughly 196 pages of text in a single request.
Does Meta: Llama 3.1 8B Instruct support tool calling?
It supports tool calling, structured output.
Can Meta: Llama 3.1 8B Instruct process images?
No, it is text-only on the input side.