Qwen3 32B vs Gemma 3 27B — the best 4-bit single-GPU local models right now. Below is the full side-by-side: specifications, API pricing, context window, local hardware requirements, and a clear, data-driven recommendation on which to pick.
| Spezifikation | Qwen3 32B | Gemma 3 27B |
|---|---|---|
| Entwickler | Alibaba | |
| Typ | LLM (dicht) | LLM (multimodal) |
| Parameter | 32 B | 27 Mrd. |
| Kontextfenster | 128K | 128K |
| Modalität | Text → Text | Text, Bild → Text |
| Lizenz | Apache 2.0 (offen) | Gemma (offen) |
| Offene Gewichte | ✅ Ja | ✅ Ja |
| Input price ($/1M) | $0.08 | $0.08 |
| Output price ($/1M) | $0.28 | $0.16 |
| VRAM (4-Bit) | ca. 20 GB | ca. 16 GB |
| Min GPU (local) | RTX 4090 mit 24 GB (Q4) | RTX 4080 16 GB / RTX 4090 |
| Veröffentlicht | 2025 | 2025 |
Key differences
- Kosten: Gemma 3 27B is 30% cheaper than Qwen3 32B on a blended-token basis.
- Offenheit: both are open-weight, so either can be self-hosted or fine-tuned. Compare their VRAM needs above to see what your GPU can run.
- Run Qwen3 32B locally: ~~20 GB at 4-bit (min RTX 4090 24GB (Q4)).
- Run Gemma 3 27B locally: ~~16 GB at 4-bit (min RTX 4080 16GB / RTX 4090).
Welches Modell sollten Sie wählen?
Choose Qwen3 32B if it fits your existing stack or you prefer Alibaba.
Choose Gemma 3 27B if you want the lower per-token cost for high-volume workloads.
→ Estimate real costs in the API cost calculator · check local hardware in the VRAM-Rechner · browse all 30+ models.
All specs and prices are pulled live from our Datenbank für KI-Modelle and kept current. Compare either model against others, or estimate your own monthly spend with the free calculators above.