LLM AtlasLLM AtlasSearch models

NVIDIA

Llama-Embed-Nemotron 8B

Open weightopen-weight

NVIDIA's Llama-Embed-Nemotron 8B ranked #1 on multilingual MTEB leaderboard with text and image retrieval support.

Last verified: 2026-03-29Confidence: MediumSources: 4
textimageopen-source
Input price
Unpublished
Output price
Unpublished
Context window
32,768
Max output
1
Release date
2025-10-21
Access
open-weight, self-hosted, api
License
Llama Community License
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

Top multilingual embedding model for multimodal retrieval workflows.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • • #1 multilingual MTEB
  • • Text+image retrieval
  • • Strong RAG performance

Trade-offs

  • • Embedding only, no generation

Crawlable benchmark analysis

Llama-Embed-Nemotron 8B is positioned as an embedding model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 22/100, coding 12/100, enterprise readiness 82/100, vision 60/100, speed 78/100, and safety 72/100.

Pricing is not fully published for this entry. With a context window of 32,768 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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