Meta: Llama 3.3 70B Instruct
This AI model from Meta is called Llama 3.3 70B Instruct. It processes text input and can handle long contexts up to 131072 tokens. It also supports the use of tools within its interface. For those seeking a balance between cost and performance, this model may be worth considering. Its blended benchmark score of 7.8 across one independent assessment is not exceptional but neither is it low, and pricing starts at $0.1 per million input tokens, with an additional charge for output tokens at $0.32 per million.
Benchmark results
Independent, published benchmarks. Blended score 7.2 across 1 benchmark, last refreshed 2026-09-23. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 12.6 |
- 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
- 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 →
| 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 | $0.07 |
| A month of a busy support chatbot | 5M in / 2M out | $1.14 |
Price & spec history
Tracked daily by PicksByModel since 2026-07-17.
| Date | Input /M | Output /M | Context |
|---|---|---|---|
| 2026-09-03 | $0.10 | $0.32 | 131,072 |
| 2026-08-26 | $0.71 | $0.71 | 131,072 |
| 2026-08-04 | $0.10 | $0.32 | 131,072 |
| 2026-07-17 | $0.13 | $0.40 | 131,072 |
Similar models
Meta: Llama 3.1 8B Instruct
Meta: Llama 3.1 70B 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?
- $0.10 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.