Meta: Llama 3.1 8B Instruct
This AI model, Meta Llama 3.1 8B Instruct, handles text input modality and can utilize external tools in its processing. It has a relatively high context length of 131072, allowing for more information to be considered in the generation process. Those with a moderate budget may want to consider this model due to its competitive price point, which is $0.05 per million input tokens and $0.08 per million output tokens. However, its benchmark performance is only middling, with a blended score of 6.3 across one independent evaluation. As such, it is best suited for those who prioritize cost over high-end performance or require the specific functionality offered by this model's tool integration capabilities.
Benchmark results
Independent, published benchmarks. Blended score 5.8 across 1 benchmark, last refreshed 2026-10-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 11.4 |
- 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 |
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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.