Model overview
`nomic-embed-code` is a state-of-the-art code embedding model that excels at code retrieval tasks: - **High Performance**: Outperforms Voyage Code 3 and OpenAI Embed 3 Large on CodeSearchNet - **Multilingual Code Support**: Trained for multiple programming languages (Python, Java, Ruby, PHP, JavaScript, Go) - **Advanced Architecture**: 7B parameter code embedding model - **Fully Open-Source**: Model weights, training data, and evaluation code released - **Total Parameters**: 7B - **Training Approach**: Trained on the CoRNStack dataset with dual-consistency filtering and progressive hard negative mining - **Supported Languages**: Python, Java, Ruby, PHP, JavaScript, and Go
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。