Qwen3-4B is a 4 billion parameter dense language model from the Qwen3 series, designed to support both general-purpose and reasoning-intensive tasks. It introduces a dual-mode architecture—thinking and non-thinking—allowing dynamic switching between high-precision logical reasoning and efficient dialogue generation. This makes it well-suited for multi-turn chat, instruction following, and complex agent workflows.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Capabilitiesjust now | 67 | 30% | +20.0 |
| Context Windowjust now | 73 | 15% | +11.0 |
| Recencyjust now | 73 | 15% | +10.9 |
| Pricingjust now | 30 | 25% | +7.5 |
| Output Capacityjust now | 20 | 15% | +3.0 |
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