NV-EmbedCode 7B v1
NV-EmbedCode 7B v1 is worth evaluating for general LLM work when its provider route and context window match the workload.
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
- Family
- NV-Embed
- Released
- 2025-06-01
- Context
- 4k
- Parameters
- 7B
- Architecture
- Encoder Only
- Specialization
- embedding
- Openness
- Open weights
- Training
- Pretrained
Cheapest of 1 route · NVIDIA NIM
About
NV-EmbedCode 7B v1 is NVIDIA AI's NV-Embed model focused on text embeddings for retrieval and semantic search. It was released 2025-06-01.
NV-EmbedCode 7B v1 is an open-weight model in the NV-Embed family. The structured metadata tracks a 4k-token context window. This page tracks provider routes through NVIDIA NIM. No headline benchmark score is tracked for NV-EmbedCode 7B v1 yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ServerlessPartial |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
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.
Frequently asked questions
What is the context window of NV-EmbedCode 7B v1?
NV-EmbedCode 7B v1 has a context window of 4k tokens.
When was NV-EmbedCode 7B v1 released?
NV-EmbedCode 7B v1 was released on 2025-06-01.
Which providers offer NV-EmbedCode 7B v1?
NV-EmbedCode 7B v1 is available from 1 provider: NVIDIA NIM.
Cheapest of 1 route · NVIDIA NIM