meta-llama

Meta: Llama 3.3 70B Instruct

Meta's Llama 3.3 70B Instruct is designed for text-based tasks with a context length of 131,072 tokens and supports tool integration but lacks reasoning capabilities or structured output support. It processes inputs and generates responses exclusively in text format. This model should be considered by users requiring extensive input contexts or those who frequently integrate tools into their workflows, given its $0.13/M input and $0.4/M output token pricing. Its blended benchmark score of 10.4 across three independent benchmarks indicates solid performance but may not yet match the leading models in specialized areas like coding or agentic tasks.

Quality Score
86/100
price + capability + benchmarks
Input Price
$0.13
per 1M tokens
Output Price
$0.40
per 1M tokens
Context Window
131,072
tokens

Benchmark results

Independent, published benchmarks. Blended score 10.4 across 3 benchmarks, last refreshed 2026-07-29. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 15.5
AI Index Coding software engineering tasks 19.7
AI Index Agentic multi-step tool-using tasks 0.6
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
128,000 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 $0.13/M input and $0.40/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 $0.09
A month of a busy support chatbot 5M in / 2M out $1.45

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Quick answers

How much does Meta: Llama 3.3 70B Instruct cost?
$0.13 per million input tokens and $0.40 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.