Meta: Llama 3.1 8B Instruct
The Meta: Llama 3.1 8B Instruct model is designed for text-based tasks with an extensive context length of 131,072 tokens and supports tool integration but lacks reasoning capabilities or structured output formatting. It can process input from text alone, making it suitable for scenarios where text-based responses are sufficient. For those prioritizing cost-effectiveness and looking to perform general text generation tasks without complex reasoning, Llama 3.1 stands out with its competitive pricing of $0.05 per million input tokens and $0.08 per million output tokens. Its blended benchmark score of 6.0 across three independent evaluations places it in a middle tier, suggesting it is robust for many applications but may not excel in specialized tasks like coding or highly agentic interactions.
Benchmark results
Independent, published benchmarks. Blended score 6.0 across 3 benchmarks, last refreshed 2026-07-22. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 12.6 |
| AI Index Coding | software engineering tasks | 8.9 |
| AI Index Agentic | multi-step tool-using tasks | 0.9 |
- 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
- 131,072 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
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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.