Llama 3.1 8B Instruct
Meta · Released Jul 2024
An 8-billion-parameter instruction-tuned language model from Meta released in July 2024 with a 131,072-token context window.
- Strengths
- Delivers solid performance on general language tasks and reasoning while maintaining a small parameter footprint, making it efficient to run and cost-effective to deploy.
- Best for
- Latency-sensitive applications, edge deployment, and workloads where model size and inference speed matter more than maximum reasoning capability.
- Limitations
- The 8B scale means it underperforms compared to larger models like Llama 3.1 70B on complex reasoning, coding, and specialized tasks; for demanding use cases, a larger model will produce noticeably better results.
Input / 1M
$0.05
Output / 1M
$0.08
Cached input / 1M
$0.025
Context window
131K
Price history
Input (solid)Output (dashed)
Price change
- 30d
- in — out —
- 90d
- in increased 150.0% out increased 166.7%
- 1y
- in increased 150.0% out increased 166.7%
- Since launch
- in increased 150.0% out increased 166.7%
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 15 Jul 2026 | $0.05 | $0.08 | $0.025 | Imported from OpenRouter | openrouter.ai |
| 11 Jun 2026 | $0.02 | $0.03 | — | Imported from OpenRouter | openrouter.ai |