Qwen3 Reranker 8B
qwen3-reranker-8b
Last refreshed 2026-05-22. Next refresh: weekly.
Qwen3 Reranker 8B 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 | $0.050 | - | 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 Reranker 8B is Alibaba's multilingual reranking model from the Qwen3 generation, designed for retrieval-augmented generation pipelines. Open-sourced under Apache 2.0. Achieves 81.22 on MTEB-Code and 72.94 on MMTEB-R. Released alongside Qwen3 Embedding series June 2025.
Qwen3 Reranker 8B has a 32K-token context window.
Capabilities
No model capability flags are currently sourced.
