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.
Benchmark results
Independent, published benchmarks. Blended score 10.4 across 3 benchmarks, last refreshed 2026-07-29. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| 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 →
| Job | Tokens | Cost |
|---|---|---|
| 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 |
Similar models
Meta: Llama 3.1 70B Instruct
Meta: Llama 3.1 8B Instruct
Meta: Llama Guard 4 12B
Meta: Llama 3.2 3B Instruct
Meta: Llama 4 Maverick
Meta: Llama 4 Scout
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.