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.
Benchmark results
Independent, published benchmarks. Blended score 14.8 across 2 benchmarks, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| 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 →
| 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 |
|---|---|---|---|
| 2026-08-04 | $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
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Meta: Llama 3.2 3B Instruct
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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.