pplx-embed-v2-context-9b
pplx-embed-v2-context-9b is a released general LLM work model with open-source; evaluate it while provider pricing coverage matures.
- Family
- PPLX Embed
- Released
- 2026-11-02
- Specialization
- embedding
- Openness
- Open source
- License
- MITOSI-approvedPermitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Developing AI for complex problem-solving.
No tracked provider pricing is available yet.
About
pplx-embed-v2-context-9b is Perplexity's open-weight contextual vision-language embedding model, released November 2, 2026 with a 0.6B sibling. A fine-tune of pplx-embed-v2-late-9b, it embeds text, images and visual documents for retrieval, either in isolation or as one vector per chunk that sees the whole document, and returns unnormalized int8 embeddings trained for 1024 and 2048 Matryoshka dimensions. Weights are on Hugging Face under MIT.
Providers
No active provider routes are tracked for this model yet.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
pplx-embed-v2-context-9bperplexity-ai/pplx-embed-v2-context-9bDeveloping AI for complex problem-solving.
No tracked provider pricing is available yet.