Papr Embed Code 1 4B measured on 3 of 194 Embeddings benchmarks3
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
80.1CoIR
Oct 2026released
8K tokensMax input
Alternatives?
ModelScoreCostPriceWhat changes
OpenQwen 3 Embedding 8Bunstatedsame—$0.01Memory (4-bit): 2.4 GB → 4.5 GBcOpenC2LLM 7Bsame——Memory (4-bit): 2.4 GB → 4.6 GBcOpenF2LLM v2 8Bunstatedsame——Memory (4-bit): 2.4 GB → 4.5 GBcOpenF2LLM v2 4Bunstatedsame——OpenQwen 3 Embedding 4Bunstatedsame—$0.02ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Nothing here yet.
Run 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
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Papr Embed Code 1 4B cost?›
There is no per-unit API price: price not verified.
How good is Papr Embed Code 1 4B, and what is it best at?›
#1 of 62 in Embeddings.
Is Papr Embed Code 1 4B better than F2LLM v2 14B?›
On CoIR · Retrieval · multilingual (9 languages), Papr Embed Code 1 4B scores 80.1 vs 79.9 — about the same.
When was Papr Embed Code 1 4B released? Is there a newer version?›
Released 2026-10-22. It is the current version in its line.
Is Papr Embed Code 1 4B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Papr Embed Code 1 4B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Papr Embed Code 1 4B?›
Papr Embed Code 1 4B is an open-weights embeddings & retrieval model from papr-ai, released Oct 2026.
What are the best alternatives to Papr Embed Code 1 4B?›
Qwen 3 Embedding 8B (open weights).