Wispr Flow - Don’t type, just speak
Mini tools| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
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pplx embed v1 0.6b
Perplexity
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$0.004 | - | $0 | per 1M tokens |
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pplx embed v1 4b
Perplexity
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$0.03 | - | $0 | per 1M tokens |
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pplx embed context v1 0.6b
This model
Perplexity
|
$0.008 | - | $0 | per 1M tokens |
|
pplx embed context v1 4B
Perplexity
|
$0.05 | - | $0 | per 1M tokens |
pplx embed context v1 0.6b
By Perplexity
pplx-embed-context-v1-0.6b is a contextual text embedding model built on a diffusion continued pre-trained Qwen3 backbone. Designed for RAG systems where surrounding document context should influence each chunk's representation, it accepts lists of document chunks and uses a late chunking strategy that allows bidirectional context to flow across chunk boundaries. The model produces 1024-dimensional unnormalized int8-quantized embeddings with a 32K token context window, and supports both INT8 and binary quantization formats. Matryoshka Representation Learning (MRL) enables flexible embedding dimensionality. No instruction prefixes are required. It achieves state-of-the-art results on the ConTEB contextual embedding benchmark and is optimized for large-scale web retrieval tasks. Compatible with Transformers and ONNX runtimes. MIT licensed.
Text
Gen 7
Overview
A 0.6B-parameter contextual text embedding model for RAG pipelines. Unlike standard embedding models, it takes full document chunks together so each chunk's embedding reflects surrounding context. Produces 1024-dimensional int8-quantized vectors with a 32K token context window. Supports binary quantization and MRL. Multilingual and instruction-free. Available via Perplexity API and as open weights.
Pricing
Compare pplx embed context v1 0.6b with other models listed in the same vendor pricing tiers and context lengths.
Embeddings
About Perplexity
Perplexity is a technology company that specializes in artificial intelligence and machine learning solutions.
Industry:
Artificial Intelligence
Company Size:
247
Location:
San Francisco, California, US
Website:
perplexity.ai
Last updated: June 25, 2026
