Model Name
Qwen/Qwen3.5-4BQwen3.5 4B
- Type: Generation
- Capabilities:
vision,reasoning
Overview
Qwen3.5-4B is a compact open 4B model with a native 262K context window, designed to deliver strong reasoning, coding, and long-context performance in a very small footprint. Qwen reports that it outperforms GPT-OSS-20B across several key benchmarks, including MMLU-Pro, GPQA Diamond, AA-LCR, and LongBench v2, making it a standout small model for cost-sensitive workloads.
Thinking Mode:
This model reasons step-by-step before responding by default.
This model does not support graduated thinking levels. Parameters such as reasoning_effort are not supported and will have no effect.
Reasoning efforts
- Supported:
none,minimal,low,medium,high,xhigh,max
See the reasoning effort guide for request examples.
Pricing
| Priority | Input Tokens (per 1M) | Cache Read Tokens (per 1M) | Output Tokens (per 1M) |
|---|---|---|---|
| Async | $0.05 | $0.01 | $0.08 |
| Batch (24h) | $0.04 | $0.01 | $0.06 |
Playground
Open this model in the Playground.