Llama 3.2 3B Instruct
Meta · Released Sep 2024
A 3-billion-parameter instruction-tuned language model from Meta released in September 2024 with a 131,072-token context window.
- Strengths
- Llama 3.2 3B runs efficiently on low-resource hardware while maintaining the extended 131,072-token context window introduced in the 3.2 series.
- Best for
- Edge deployment, resource-constrained environments, and tasks where model size matters more than absolute capability.
- Limitations
- As a 3-billion-parameter model, it has significantly lower reasoning and language understanding capability than larger siblings like Llama 3.3 70B or Llama 3.1 70B.
Input / 1M
$0.05
Output / 1M
$0.33
Cached input / 1M
—
Context window
131K
Price history
Input (solid)Output (dashed)
Price change
- 30d
- in — out —
- 90d
- in decreased 1.8% out decreased 1.5%
- 1y
- in decreased 1.8% out decreased 1.5%
- Since launch
- in decreased 1.8% out decreased 1.5%
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 23 Jul 2026 | $0.05 | $0.33 | — | Imported from OpenRouter | openrouter.ai |
| 16 Jul 2026 | $0.0509 | $0.335 | — | Imported from OpenRouter | openrouter.ai |
| 15 Jul 2026 | $0.05 | $0.33 | — | Imported from OpenRouter | openrouter.ai |
| 7 Jul 2026 | $0.05 | $0.33 | — | Imported from OpenRouter | openrouter.ai |
| 11 Jun 2026 | $0.0509 | $0.335 | — | Imported from OpenRouter | openrouter.ai |