Model reference · Synced 2025-04-29
Qwen3-Reranker-4B
Qwen3-Reranker-4B is an AI model from Regolo AI. 33K context window. Capabilities: open weights. Available on 1 provider. Cheapest listing: $0.12 input / $0.12 output per 1M tokens.
Quick facts
- Cheapest input: $0.12 per 1M tokens (Regolo AI)
- Cheapest output: $0.12 per 1M tokens
- Context window: 33K tokens
- Max output: 8K tokens
- Release date: 2026-02-01
- Capabilities: open weights
- Provider count: 1
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| Regolo AI | $0.12 | $0.12 | 33K | 2026-02-01 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking Qwen3-Reranker-4B for a project, the three things that matter most:
- Compare it side-by-side with one or two alternatives in the live comparison tool. Pricing differences matter more than benchmarks at scale.
- Pick the cheapest provider that meets your latency / SLA need. Big spread across providers for the same weights.
- Re-evaluate every 3 months. Frontier prices drop fast; a model that's cheapest today may not be in a quarter.
Related models
FAQ
How much does Qwen3-Reranker-4B cost? $0.12 input / $0.12 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 33K tokens.
Which providers offer it? Regolo AI.
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.