pplx Embed v1 4B measured on 7 of 261 Embeddings benchmarks7
BenchmarkByScoreRank
Retrieval1
Other6
No benchmark matches
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 14BunstatedOpen+3%——Memory (4-bit): 2.4 GB → 8.4 GBcC2LLM 7BOpen+3%——Memory (4-bit): 2.4 GB → 4.6 GBRun it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does pplx Embed v1 4B cost?›
$0.03 per 1M tokens.
Is pplx Embed v1 4B free to use?›
There is no free API; it costs $0.03 per 1M tokens. The weights are open, so you can run it yourself.
How good is pplx Embed v1 4B, and what is it best at?›
#8 of 174 in Embeddings.
Is pplx Embed v1 4B better than F2LLM v2 1.7B?›
On MTEB Code v1 · Mean over tasks · multilingual (15 languages), pplx Embed v1 4B scores 78.7 vs 78.8 — about the same.
When was pplx Embed v1 4B released? Is there a newer version?›
Released 2026-02-11. It is the current version in its line.
Is pplx Embed v1 4B open source?›
Yes, the weights are open (MIT licence).
Can I run pplx Embed v1 4B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is pplx Embed v1 4B?›
pplx Embed v1 4B is an open-weights embeddings & retrieval model from perplexity-ai, released Feb 2026.
What are the best alternatives to pplx Embed v1 4B?›
Qwen 3 Embedding 8B (cheaper), F2LLM v2 14B (better), C2LLM 7B (open weights).