perplexity
Perplexity: Embed V1 4B
perplexity/pplx-embed-v1-4b
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Perplexity's perplexity/pplx-embed-v1-4b is a text embedding model listed in the OpenRouter catalog as converting text input into embedding vectors, with a 32,000-token context window. The catalog describes it as a 4-billion-parameter model optimized for web-scale dense text retrieval, but this characterization comes from the provider's listing rather than independent testing. No independent model card or benchmark results were available in this source pack, so retrieval quality on real workloads remains unverified.[1]
Strengths
- According to the OpenRouter catalog, the model is optimized for standard dense text retrieval, and the provider describes it as state-of-the-art for web-scale retrieval.[1]
- The catalog lists a 32,000-token context window, which may support embedding longer documents than shorter-context alternatives.[1]
- The catalog lists a dedicated text-to-embeddings modality, indicating the model is purpose-built for producing vectors rather than general text generation.[1]
Limitations
- All evidence comes from a single OpenRouter catalog entry; an independent model card was not available in this source pack, so provider-reported claims are unverified.[1]
- No benchmark results were included in the listing, so retrieval quality and latency must be validated on your own workload.[1]
- Per the catalog, output is limited to embeddings; the model does not generate text responses.[1]
Where to use it
- Worth evaluating for semantic search or retrieval-augmented generation indexing pipelines that need dense embeddings over long inputs, pending workload validation.[1]
- Could suit embedding-only workloads where a single-purpose text-to-embedding endpoint is preferable to a generative model, subject to independent quality testing.[1]
Sources
- [1] OpenRouter catalog · Perplexity: Embed V1 4BSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter model maximizing retrieval...
Specifications
- Model ID
- perplexity/pplx-embed-v1-4b
- Canonical ID
- perplexity/pplx-embed-v1-4B
- Creator
- perplexity
- Added to OpenRouter
- 16.03.2026
- Context length
- 32,000
- Modality
- text->embeddings
- Input modalities
- text
- Output modalities
- embeddings
- Token pricing
- USD per 1M tokens: in $0.030 / out $0
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | output: embeddings |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Perplexityint8 | 32,000 | $0.030 | $0 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.