LLM ReferenceLLM Reference

NV-EmbedCode 7B v1

nv-embedcode-7b-v1

Researched 137d ago

Last refreshed 2026-05-01. Next refresh: weekly.

NV-EmbedCode 7B v1 is worth evaluating for general LLM work when its provider route and context window match the workload.

Decision context: Coding task fit, 1 tracked provider route, and research from 2026-01-01.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 4K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows

Cheapest output

-

NVIDIA NIM per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

NVIDIA code embedding model for code search and retrieval applications.

NV-EmbedCode 7B v1 has a 4K-token context window.

Capabilities

No model capability flags are currently sourced.

Rankings

Specifications

FamilyNV-Embed
Released2025-06-01
Parameters7B
Context4K
Architectureencoder
Specializationembedding
Trainingpretrained

Created by

Accelerated AI for enterprise solutions

Santa Clara, California, United States
Founded 2015
Website

Providers(1)