Nemotron 3.5 Embed 1B BF16
Oct 2026
Nemotron 3.5 Embed 1B BF16Compare inonViDoRe v3
$0.015per 1M tokens
57.7ViDoRe v3
Oct 2026released
2,048Dimensions
33K tokensMax input
en, es, fr +30Languages
Alternatives?
ModelScoreCostPriceWhat changes
BetterNemotron 3.5 Embed 8B BF16Open+4%+133%$0.035Memory (4-bit): 0.9 GB → 5 GB
OpenEVIE 8B+15%——Languages: not verified+1BetterEVIE 4.5BOpen+14%——Languages: not verified+1wBetterWebAI ColVec1.1 8BOpen+13%——Languages: not verified+1
Betterpplx Embed v2 Late 9BOpen+12%——Max input: 33K tokens → 4K tokens+2ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Nemotron 3.5 Embed 8B BF16Open+4%+133%$0.035Memory (4-bit): 0.9 GB → 5 GBEVIE 8BOpen+15%——Languages: not verified+1EVIE 4.5BOpen+14%——Languages: not verified+1wWebAI ColVec1.1 8BOpen+13%——Languages: not verified+1pplx Embed v2 Late 9BOpen+12%——Max input: 33K tokens → 4K tokens+2ModelScoreCostPriceWhat changes
EVIE 8BOpen+15%——Languages: not verified+1EVIE 4.5BOpen+14%——Languages: not verified+1wWebAI ColVec1.1 8BOpen+13%——Languages: not verified+1pplx Embed v2 Late 9BOpen+12%——Max input: 33K tokens → 4K tokens+2vVultronRetrieverPrime Qwen3.5 8BOpen+11%——Languages: loses zh, ja, ko +24+1ModelScoreCostPriceWhat changes
Nemotron Colembed VL 8B v2Open+10%——Languages: not verified+1Nemotron Colembed VL 4B v2Open+7%——Languages: not verified+1Nemotron 3.5 Embed 8B BF16Open+4%+133%$0.035Memory (4-bit): 0.9 GB → 5 GBLlama Nemotron Colembed VL 3B v2Open+4%——Max input: 33K tokens → 8K tokens+2Llama Nemoretriever Colembed 3B v1Opensame——Max input: 33K tokens → 8K tokens+2Llama Nemoretriever Colembed 1B v1Open-4%——Max input: 33K tokens → 8K tokens+2Llama Nemotron Embed VL 1B v2Openn/a—$0.01Max input: 33K tokens → 10K tokens+2Omni Embed Nemotron 3BOpenn/a——Languages: loses es, fr, de +29+1All NVIDIA 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
Licenceopenmdw-1.1commercial use with conditions
Benchmarks
in Embeddings & RetrievalFAQ
How much does Nemotron 3.5 Embed 1B BF16 cost?›
$0.015 per 1M tokens.
Is Nemotron 3.5 Embed 1B BF16 free to use?›
There is no free API; the cheapest paid price is $0.015 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Nemotron 3.5 Embed 1B BF16, and what is it best at?›
#22 of 50 in Multimodal.
Is Nemotron 3.5 Embed 1B BF16 better than Qwen 3 VL Embedding 8B?›
On ViDoRe v3 · Mean over tasks · multilingual (6 languages), Nemotron 3.5 Embed 1B BF16 scores 57.7 vs 57.8 — about the same. It is 83% cheaper.
How can I use Nemotron 3.5 Embed 1B BF16?›
Through the NVIDIA API.
When was Nemotron 3.5 Embed 1B BF16 released? Is there a newer version?›
Released 2026-10-20. It is the current version in its line.
Is Nemotron 3.5 Embed 1B BF16 open source?›
Yes, the weights are open (openmdw-1.1 licence).
Can I run Nemotron 3.5 Embed 1B BF16 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Nemotron 3.5 Embed 1B BF16?›
Nemotron 3.5 Embed 1B BF16 is an open-weights embeddings & retrieval model from NVIDIA, released Oct 2026.
What are the best alternatives to Nemotron 3.5 Embed 1B BF16?›
Nemotron 3.5 Embed 8B BF16 (better), EVIE 8B (open weights).