Model overview
`jina-embeddings-v5-text-small` is the fifth generation of Jina AI's multilingual embedding models, released on February 18, 2026. For a lighter alternative, see jina-embeddings-v5-text-nano (239M parameters). `jina-embeddings-v5-text-small` scores 71.7 average on MTEB English v2 and 67.7 on MMTEB with 677M parameters, the highest among multilingual embedding models under 1B parameters. Built on Qwen3-0.6B-Base and trained by combining embedding distillation from Qwen3-Embedding-4B with task-specific contrastive losses, it supports 119+ languages with up to 32K tokens and produces embeddings robust under truncation and binary quantization. It is part of the **jina-embeddings-v5-text** model family, which also includes jina-embeddings-v5-text-nano, a smaller model for resource-constrained use cases. | Feature | Value | | --- | --- | | Parameters | 677M | | Supported Tasks | `retrieval`, `text-matching`, `clustering`, `classification` | | Max Sequence Length | 32768 | | Embedding Dimension | 1024 | | Matryoshka Dimensions | 32, 64, 128, 256, 512, 768, 1024 | | Pooling Strategy | Last-token pooling | | Base Model | Qwen/Qwen3-0.6B-Base |
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
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| Source / channel | Input | Output | Billing unit | Collected at |
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Estimate monthly base token costs
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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。
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Sources & traceability
许可证：cc-by-nc-4.0。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。