perplexity
Perplexity: Embed V1 0.6B
perplexity/pplx-embed-v1-0.6b
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Perplexity's pplx-embed-v1-0.6b is a text embedding model that, per its OpenRouter catalog entry, converts text input into embedding vectors for retrieval. The catalog describes the pplx-embed-v1 family as designed for web-scale retrieval and dense text retrieval, with this 0.6B parameter variant targeting lightweight, low-latency use; these are vendor claims, not independently measured results. A 32,000-token context length is listed. Only OpenRouter catalog data was supplied and no independent model card was available in this source pack, so capabilities beyond the listing remain unverified.[1]
Strengths
- The catalog reports a 32,000-token context length, relatively long for an embedding model, which may help with extended documents.[1]
- Per the catalog, the 0.6B parameter size is aimed at lightweight, low-latency operation, a stated design goal rather than a measured result.[1]
- It produces embedding vectors from text, matching the catalog's text-to-embeddings modality for retrieval-style tasks.[1]
Limitations
- Evidence is limited to a single OpenRouter catalog entry with no independent model card, measured performance, or benchmark data in this source pack; validate on your own workload before adopting.[1]
- The state-of-the-art and low-latency characterizations are vendor-catalog claims, not verified results.[1]
- The catalog lists no supported parameters and no Hugging Face identifier, so tuning options and distribution details are unknown.[1]
Where to use it
- A candidate worth testing for semantic search or retrieval-augmented generation pipelines where a compact embedding model is desired.[1]
- Potentially suitable for embedding long documents, given the reported context length, if evaluation confirms quality.[1]
- Could be evaluated for high-volume retrieval workloads where the catalog's lightweight positioning matters.[1]
Sources
- [1] OpenRouter catalog · Perplexity: Embed V1 0.6BSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
pplx-embed-v1-0.6B 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 0.6B parameter model targeting lightweight, low-latency...
Specifications
- Model ID
- perplexity/pplx-embed-v1-0.6b
- Canonical ID
- perplexity/pplx-embed-v1-0.6B
- 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 $0.0040 / 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 | $0.0040 | $0 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.