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.
| Especificación | Qwen3 32B | Gemma 3 27B |
|---|---|---|
| Desarrollador | Alibaba | |
| Tipo | LLM (denso) | Modelo de lenguaje grande (multimodal) |
| Parámetros | 32B | 27B |
| Ventana de contexto | 128K | 128K |
| Modalidad | Texto → Texto | Texto, imagen → texto |
| Licencia | Apache 2.0 (abierto) | Gemma (abierta) |
| Pesos abiertos | ✅ Sí | ✅ Sí |
| Input price ($/1M) | $0.08 | $0.08 |
| Output price ($/1M) | $0.28 | $0.16 |
| VRAM (4 bits) | ~20 GB | ~16 GB |
| Min GPU (local) | RTX 4090 de 24 GB (cuarto trimestre) | RTX 4080 16 GB / RTX 4090 |
| Lanzado | 2025 | 2025 |
Key differences
- Coste: Gemma 3 27B is 30% cheaper than Qwen3 32B on a blended-token basis.
- Apertura: 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).
¿Cuál deberías elegir?
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 calculadora de VRAM · browse all 30+ models.
All specs and prices are pulled live from our base de datos de modelos de IA and kept current. Compare either model against others, or estimate your own monthly spend with the free calculators above.