Qwen3 Reranker Models by Alibaba
AlibabaApache 2.0
1 model2025Up to 33K ctxFrom $0.05/1M input
About
Qwen3 Reranker is Alibaba's multilingual reranking model series from the Qwen3 generation, designed for retrieval-augmented generation pipelines. Open-sourced under Apache 2.0.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
Qwen3 Reranker 8BCurrent
Use when the workload needs 33K context and 8B parameters.
2025-0633K context8B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Qwen3 Reranker 8B | Use when the workload needs 33K context and 8B parameters. | 2025-06 | 33K context8B parameters | Current |
Release Timeline
1 release group2025-06
1 current
Qwen3 Reranker 8B
Current33K context8B parameters
Specifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Qwen3 Reranker 8B | 2025-06 | 33K | 8B |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Qwen3 Reranker 8B | Novita AI | $0.05 | — | Serverless |
Frequently Asked Questions
- What is Qwen3 Reranker used for?
- Qwen3 Reranker is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Qwen3 Reranker compare to Tongyi DeepResearch?
- Qwen3 Reranker by Alibaba is strongest where you need coding, while Tongyi DeepResearch by Alibaba is the closest related family to check for adjacent model selection. Qwen3 Reranker has 1 listed variant and reaches up to 33K context, while Tongyi DeepResearch reaches up to 131K context, so compare the specs and pricing tables before choosing a production model.
- Which Qwen3 Reranker model should I use?
- For the lowest listed input price, start with Qwen3 Reranker 8B through Novita AI at $0.05/1M input tokens. For the most capable/latest local choice, evaluate Qwen3 Reranker 8B with 33K context.
