Meta: Llama 3.1 8B Instruct
The Meta: Llama 3.1 8B Instruct model is a tool designed for text-based input and output. It handles context lengths of up to 131,072 tokens and supports tools such as formatting options. However, it does not support structured output or reasoning tasks. When evaluating which model to use, consider the Meta: Llama 3.1 8B Instruct option if you prioritize a balance between cost and performance. With a price point of $0.05 per million input tokens and $0.08 per million output tokens, it falls in the middle range. The model's blended benchmark score of 3.1 across two independent benchmarks suggests that it holds its own against other models, making it a viable choice for those who need a reliable text generation tool without breaking the bank.
Benchmark results
Independent, published benchmarks. Blended score 3.1 across 2 benchmarks, last refreshed 2026-09-06. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 3.3 |
| AI Index Coding | software engineering tasks | 8.9 |
- Model ID
- meta-llama/llama-3.1-8b-instruct
- Vendor
- meta-llama
- Released
- July 2024
- Tokenizer
- Llama3
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 117,964 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 $0.05/M input and $0.08/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 | $0.03 |
| A month of a busy support chatbot | 5M in / 2M out | $0.41 |
Similar models
Meta: Llama 3.3 70B 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 3.1 8B Instruct cost?
- $0.05 per million input tokens and $0.08 per million output tokens.
- What is Meta: Llama 3.1 8B Instruct's context window?
- 131,072 tokens, roughly 196 pages of text in a single request.
- Does Meta: Llama 3.1 8B Instruct support tool calling?
- It supports tool calling, structured output.
- Can Meta: Llama 3.1 8B Instruct process images?
- No, it is text-only on the input side.