Qwen3 Reranker 4B
Qwen3 Reranker 4B is a reranking model from Qwen released on Jul 30, 2025. It reads text and writes relevance scores, with a 32K token context window.
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It costs $0.0575 per million input tokens, with no charge for output.
Its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0.0575 / $0 per 1M
- Context
- 32K
- Max output
- 4K
- Released
- Jul 30, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Qwen3 Reranker 4B pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.0575 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What Qwen3 Reranker 4B costs per month
Pick a workload close to yours or type your own volumes.
Alternatives to Qwen3 Reranker 4B
Models that take the same inputs, closest in price, cheaper ones first.
Qwen3 Reranker 8B
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BAAI: BGE Reranker V2 M3
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by nvidiaMar 31, 2026$0/M input tokens
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Reads text and images. Tool calling, reasoning.
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Qwen3 Reranker 4B questions
How much does the Qwen3 Reranker 4B API cost?
$0.0575 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Qwen3 Reranker 4B?
32,000 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Is Qwen3 Reranker 4B open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Qwen3 Reranker 4B released?
Jul 30, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Qwen3 Reranker 4B?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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