Qwen3 Embedding 0.6B
qwen3-embedding-0.6b
Last refreshed 2026-05-22. Next refresh: weekly.
Qwen3 Embedding 0.6B 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 2026-05-22.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 33K 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
-
Novita AI per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-22
Researched today
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Novita AI | $0.070 | - | 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
Qwen3 Embedding 0.6B is Alibaba's compact multilingual text embedding model from the Qwen3 generation, supporting 119 languages. Open-sourced under Apache 2.0. Part of the Qwen3-Embedding series (0.6B, 4B, 8B), achieving SOTA multilingual embedding performance relative to its parameter count.
Qwen3 Embedding 0.6B has a 32K-token context window.
Capabilities
No model capability flags are currently sourced.
