Perplexity: Embed v1 4b
Embed v1 4b is an embedding model from Perplexity released on Feb 26, 2026. It reads text and writes vectors, with a 32K token context window.
- Modalities
- In / out price
- n/a
- Context
- 32K
- Max output
- n/a
- Released
- Feb 26, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
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Embed v1 0.6b
Embeddings32K contextTurns text into vectors for search and retrieval.
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by perplexityJan 1, 2024$1/M input tokens$1/M output tokens11 providers
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by perplexityJan 1, 2024$3/M input tokens$15/M output tokens8 providers
- 128K context
Reads text and images. Structured output, reasoning. Served by 6 providers.
by perplexityJan 1, 2024$2/M input tokens$8/M output tokens6 providers
Embed v1 4b questions
What is the context window of Embed v1 4b?
32,000 tokens of input. As a rough guide, a million tokens is around 750,000 English words.
Is Embed v1 4b open source?
No. Perplexity serves it through an API only, so you cannot download the weights or host it yourself.
When was Embed v1 4b released?
Feb 26, 2026.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Embed v1 4b?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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