meta-llama

Meta: Llama 3.3 70B Instruct

The Meta: Llama 3.3 70B Instruct is a text-focused AI model capable of handling up to 131,072 tokens in context and generating responses with up to 16,384 completion tokens. It supports tool interactions but lacks reasoning capabilities or structured output options. This model should be considered by users requiring efficient text-based interactions and tool integrations at a relatively affordable price point of $0.1 per million input tokens and $0.32 per million output tokens. With a blended benchmark score of 14.8 across two independent benchmarks, it offers solid performance; however, its specific strengths lie in AI index tasks rather than coding or general reasoning tasks, making it a strong choice for text-intensive applications where cost-effectiveness is key.

Quality Score
86/100
price + capability + benchmarks
Input Price
$0.10
per 1M tokens
Output Price
$0.32
per 1M tokens
Context Window
131,072
tokens

Benchmark results

Independent, published benchmarks. Blended score 14.8 across 2 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 15.3
AI Index Coding software engineering tasks 19.7
Model ID
meta-llama/llama-3.3-70b-instruct
Vendor
meta-llama
Released
December 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 $0.10/M input and $0.32/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 $0.07
A month of a busy support chatbot 5M in / 2M out $1.14

Price & spec history

Tracked daily by PicksByModel since 2026-07-17.

DateInput /MOutput /MContext
2026-08-04 $0.10 $0.32 131,072
2026-07-17 $0.13 $0.40 131,072

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Quick answers

How much does Meta: Llama 3.3 70B Instruct cost?
$0.10 per million input tokens and $0.32 per million output tokens.
What is Meta: Llama 3.3 70B Instruct's context window?
131,072 tokens, roughly 196 pages of text in a single request.
Does Meta: Llama 3.3 70B Instruct support tool calling?
It supports tool calling, structured output.
Can Meta: Llama 3.3 70B Instruct process images?
No, it is text-only on the input side.