Eager Embed v1 measured on 4 of 203 Multimodal benchmarks4
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
79.2MIEB lite
Nov 2025released
2,560Dimensions
262K tokensMax input
Ranking?
Full ranking →···
32Granite Vision 3.3 2B Embedding8633Eager Embed v184.934Colpali v1.384.8Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterJina Embeddings v4unstatedOpen+6%—$0.05Max input: 262K tokens → 128K tokensDOpenArgus Colqwen3.5 9B v0unstated+9%——Max input: 262K tokens → 33K tokens+1
BetterNemotron Colembed VL 8B v2Open+9%——Memory (4-bit): 2.7 GB → 5.2 GBDBetterArgus Colqwen3.5 4B v0unstatedOpen+9%——Max input: 262K tokens → 33K tokens+1vBetterVultronRetrieverCore Qwen3.5 4.5BOpen+9%——ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Jina Embeddings v4unstatedOpen+6%—$0.05Max input: 262K tokens → 128K tokensDArgus Colqwen3.5 9B v0unstatedOpen+9%——Max input: 262K tokens → 33K tokens+1Nemotron Colembed VL 8B v2Open+9%——Memory (4-bit): 2.7 GB → 5.2 GBDArgus Colqwen3.5 4B v0unstatedOpen+9%——Max input: 262K tokens → 33K tokens+1vVultronRetrieverCore Qwen3.5 4.5BOpen+9%——ModelScoreCostPriceWhat changes
DArgus Colqwen3.5 9B v0unstatedOpen+9%——Max input: 262K tokens → 33K tokens+1Nemotron Colembed VL 8B v2Open+9%——Memory (4-bit): 2.7 GB → 5.2 GBDArgus Colqwen3.5 4B v0unstatedOpen+9%——Max input: 262K tokens → 33K tokens+1vVultronRetrieverCore Qwen3.5 4.5BOpen+9%——vVultronRetrieverPrime Qwen3.5 8BOpen+9%——Memory (4-bit): 2.7 GB → 5 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
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Eager Embed v1 cost?›
There is no per-unit API price: self-host only.
Is Eager Embed v1 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Eager Embed v1, and what is it best at?›
#37 of 89 in Multimodal.
Is Eager Embed v1 better than Granite Vision 3.3 2B Embedding?›
On MIEB multilingual · Document Understanding · English, Eager Embed v1 scores 84.9 vs 86 — lower.
When was Eager Embed v1 released? Is there a newer version?›
Released 2025-11-20. It is the current version in its line.
Is Eager Embed v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Eager Embed v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Eager Embed v1?›
Eager Embed v1 is an open-weights embeddings & retrieval model from eagerworks, released Nov 2025.
What are the best alternatives to Eager Embed v1?›
Jina Embeddings v4 (better), Argus Colqwen3.5 9B v0 (open weights).