Qwen 3 Embedding 8B
Embedding model by Qwen.
Qwen dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval.
Context window
Maximum input context length.
32.8K
Maker
Qwen
Specifications
Context window, ranked against other embedding models
Proportional scale: 0 to 32.8K tokens. Not ranked, no published context window: text-embedding-3-large.
32.8K
tokens—
embedding
Pricing
Rates are read live
Pricing for Qwen/Qwen3-Embedding-8B is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Qwen 3 Embedding 8B is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from Qwen
FAQs
What is Qwen 3 Embedding 8B?
Qwen dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval.
How much does Qwen 3 Embedding 8B cost?
Qwen 3 Embedding 8B is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
What is the context length of Qwen 3 Embedding 8B?
Qwen 3 Embedding 8B supports a 32,768-token context window.
Does Qwen 3 Embedding 8B support tool calling and structured outputs?
No. Qwen 3 Embedding 8B does not support tool calling, so it cannot invoke external tools or functions.
What inputs and outputs does Qwen 3 Embedding 8B support?
Qwen 3 Embedding 8B is an embedding model: it takes text as input and returns vector embeddings as output.
How do I use Qwen 3 Embedding 8B via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "deepinfra/Qwen/Qwen3-Embedding-8B".
When was Qwen 3 Embedding 8B released?
Qwen 3 Embedding 8B was released on October 7, 2026.
Where is the Qwen 3 Embedding 8B documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other embedding models does Qwen have?
Other Qwen embedding models on nRouter include Qwen Plus (nrouter.ai/models/qwen-plus-2025-09-11), Qwen 3.6 Plus (nrouter.ai/models/qwen3.6-plus-2026-04-02), Qwen 3.5 27B (nrouter.ai/models/qwen-qwen3.5-27b), Qwen Plus Latest (nrouter.ai/models/qwen-plus-latest).