Papr Embed Code 1 0.6B measured on 3 of 194 Embeddings benchmarks3
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
77.2CoIR
Oct 2026released
8K tokensMax input
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+3%—$0.01Memory (4-bit): 0.4 GB → 4.5 GBpOpenPapr Embed Code 1 4B+4%——Memory (4-bit): 0.4 GB → 2.4 GBBetterQwen 3 Embedding 4BunstatedOpen+3%—$0.02Memory (4-bit): 0.4 GB → 2.4 GBcBetterF2LLM v2 14BunstatedOpen+4%——Memory (4-bit): 0.4 GB → 8.4 GBcBetterC2LLM 7BOpen+3%——Memory (4-bit): 0.4 GB → 4.6 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+3%—$0.01Memory (4-bit): 0.4 GB → 4.5 GBQwen 3 Embedding 4BunstatedOpen+3%—$0.02Memory (4-bit): 0.4 GB → 2.4 GBpPapr Embed Code 1 4BOpen+4%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 14BunstatedOpen+4%——Memory (4-bit): 0.4 GB → 8.4 GBcC2LLM 7BOpen+3%——Memory (4-bit): 0.4 GB → 4.6 GBModelScoreCostPriceWhat changes
pPapr Embed Code 1 4BOpen+4%——Memory (4-bit): 0.4 GB → 2.4 GBQwen 3 Embedding 8BunstatedOpen+3%—$0.01Memory (4-bit): 0.4 GB → 4.5 GBcC2LLM 7BOpen+3%——Memory (4-bit): 0.4 GB → 4.6 GBcF2LLM v2 8BunstatedOpen+3%——Memory (4-bit): 0.4 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+3%——Memory (4-bit): 0.4 GB → 2.4 GBModelScoreCostPriceWhat changes
pPapr Embed Code 1 4BOpen+4%——Memory (4-bit): 0.4 GB → 2.4 GBAll papr-ai models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 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 0.6B cost?›
There is no per-unit API price: price not verified.
How good is Papr Embed Code 1 0.6B, and what is it best at?›
#16 of 62 in Embeddings.
Is Papr Embed Code 1 0.6B better than pplx Embed v1 4B?›
On CoIR · Mean over task types · multilingual (9 languages), Papr Embed Code 1 0.6B scores 77.2 vs 77.3 — about the same.
When was Papr Embed Code 1 0.6B released? Is there a newer version?›
Released 2026-10-22. It is the current version in its line.
Is Papr Embed Code 1 0.6B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Papr Embed Code 1 0.6B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Papr Embed Code 1 0.6B?›
Papr Embed Code 1 0.6B is an open-weights embeddings & retrieval model from papr-ai, released Oct 2026.
What are the best alternatives to Papr Embed Code 1 0.6B?›
Qwen 3 Embedding 8B (better), Papr Embed Code 1 4B (open weights).