Sonar Large 32K
Perplexity Sonar Large 32K is the top-tier Sonar reasoning model, built on Perplexity’s R1 post-trained architecture. It supports a 32,000-token context window, excels at deep reasoning and coding, and is tuned for retrieval-augmented generation with precise, grounded answers.
- Type
- Text
- Weights
- Closed
More from Perplexity
11
-
Deep Research
Text
Deep Research is Perplexity’s premium reasoning assistant. It goes beyond quick Q&A by systematically searchi…
-
51k DL
Pplx Embed
Text
pplx-embed is a family of text embedding models built for real-world, web-scale retrieval.
-
5.2k DL
pplx embed context v1 0.6b
Text
A 0.6B-parameter contextual text embedding model for RAG pipelines. Unlike standard embedding models, it take…
-
3.7k DL
pplx embed context v1 4B
Text
A 4B-parameter contextual text embedding model built on diffusion-pretrained Qwen3, designed for RAG pipeline…
-
51k DL
pplx embed v1 0.6b
Text
A 0.6B parameter multilingual text embedding model built on a diffusion-pretrained Qwen3 backbone. Produces 1…
-
5.6k DL
pplx embed v1 4b
Text
A 4B-parameter text embedding model built on diffusion-pretrained Qwen3. Produces 2560-dimensional dense embe…
-
2.2k DL
pplx pii masking
Text
pplx pii masking is a 0.6B parameter bidirectional text encoder that detects and masks personally identifiabl…
-
R1 1776
Text
R1 1776 is Perplexity’s open-source, post-trained variant of DeepSeek-R1 that removes CCP-aligned censorship…
About Perplexity
1
Perplexity provides an AI-powered answer engine that generates conversational responses supported by cited web sources.