PPLX Models by Perplexity Labs
Last refreshed 2026-10-20. Next refresh: weekly.
Details
Links
WebsiteAbout
The PPLX family of large language models by Perplexity AI is designed to tackle the challenges of traditional LLMs, such as dealing with outdated information and ensuring response accuracy. It features the core models pplx-7b-online and pplx-70b-online, which have 7 billion and 70 billion parameters, respectively 125. These models can access real-time data from the internet, enabling them to generate responses that are both current and factual 156. Building on open-source models like mistral-7b and llama2-70b, Perplexity's unique fine-tuning and search technology enhance these LLMs' efficacy 156. Evaluations indicate these models yield performance on par with or even surpassing prominent models like GPT-3.5 and Llama 2 in delivering precise and timely answers 157. Additional offerings include the pplx-7b-chat and pplx-70b-chat models, available via API and the Labs platform 156.
Decision facts
- Best fit
- General model comparison
- Capability starting point
- pplx-embed-v1
- Lowest tracked input
- Not tracked
- Closest related family
- Ember
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| pplx-embed-v1 | Use when the workload needs 4B parameters. | 2024-05 | 4B parameters | Current |
Release Timeline
2 release groupsSpecifications(7 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| pplx-embed-v1 | 2024-05 | — | 4B |

