meta-llama

Meta: Llama 3.1 70B Instruct

The Meta Llama 3.1 70B Instruct model is designed for text-based input and can handle contexts up to 131,072 tokens in length. It allows users to leverage tools within the interface but does not support complex reasoning capabilities. This model's pricing structure charges $0.4 per million input and output tokens, making it a cost-effective option for those with moderate-scale processing needs. Its blended benchmark score of 5.7 across one independent benchmark is also noteworthy, suggesting solid performance in specific tasks. Those seeking to balance budget and capability may want to shortlist the Meta Llama 3.1 70B Instruct model for further evaluation.

Quality Score
86/100
price + capability + benchmarks
Input Price
$0.40
per 1M tokens · checked 2026-09-23
Output Price
$0.40
per 1M tokens · checked 2026-09-23
Context Window
131,072
tokens

Benchmark results

Independent, published benchmarks. Blended score 5.3 across 1 benchmark, last refreshed 2026-09-23. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 10.9
Model ID
meta-llama/llama-3.1-70b-instruct
Vendor
meta-llama
Released
July 2024
Tokenizer
Llama3
Input Modalities
text
Output Modalities
text
Max Output
16,384 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 $0.40/M input and $0.40/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.01
Classify 1,000 customer emails 500k in / 50k out $0.22
A month of a busy support chatbot 5M in / 2M out $2.80

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-09-22 $0.40 $0.40 131,072
2026-09-21 $0.72 $0.72 131,072
2026-09-13 $0.40 $0.40 131,072
2026-09-11 $0.72 $0.72 131,072
2026-07-17 $0.40 $0.40 131,072

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Quick answers

How much does Meta: Llama 3.1 70B Instruct cost?
$0.40 per million input tokens and $0.40 per million output tokens.
What is Meta: Llama 3.1 70B Instruct's context window?
131,072 tokens, roughly 196 pages of text in a single request.
Does Meta: Llama 3.1 70B Instruct support tool calling?
It supports tool calling, structured output.
Can Meta: Llama 3.1 70B Instruct process images?
No, it is text-only on the input side.

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