Qwen3 30B-A3B — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | Alibaba |
|---|---|
| Tipo | LLM (MoE) |
| Modalidad | Texto → Texto |
| Parámetros | 30B totales / 3B activos (MoE) |
| Ventana de contexto | 128 K |
| Licencia | Apache 2.0 (abierta) |
| Pesos abiertos | Sí |
| Lanzado | 2025 |
| Precio de entrada | $0.12 /1M |
| Precio de salida | $0.5 /1M |
| Proveedores de API | Alibaba, OpenRouter, Ollama |
Ejecútelo localmente
| VRAM (4 bits) | ~18 GB |
|---|---|
| GPU mínima | RTX 4090 de 24 GB (Q4) — rápida, con 3B activos |
What is Qwen3 30B-A3B?
Qwen3 30B-A3B is a mixture-of-experts with 30B total parameters but only about 3B active
per token — near-32B quality at a fraction of the compute, and very fast locally. Apache 2.0,
128K context, roughly 18 GB of VRAM at 4-bit on an RTX 4090 24GB.
The speed is the reason to pick it. Because only ~3B parameters are active on each token,
generation runs several times faster than a dense 32B on the same card, while memory use is
only modestly higher. That combination matters specifically for local interactive work —
coding assistants, chat interfaces, anything where you are watching tokens appear — where a
dense 32B on consumer hardware is often just slow enough to be irritating. The trade is that
you pay for 30B of memory to get 3B of speed, so on a 24 GB card the dense Qwen3 32B remains
the better choice if raw quality per gigabyte matters more than latency. Choose 30B-A3B when
responsiveness is the feature.
Qwen3 30B-A3B pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $0.120 |
|---|---|
| Salida (por cada millón de tokens) | $0.500 |
| Relación salida/entrada | 4.2× |
| Combinada (4:1 entrada:salida) | $0.196 por 1 millón de tokens |
What Qwen3 30B-A3B costs per month
Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.
| Carga de trabajo | Tokens/mes | Coste mensual |
|---|---|---|
| Proyecto secundario | 1 millón de tokens de entrada / 0,25 millones de tokens de salida | $0.25 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $4.90 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $49 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to Qwen3 30B-A3B
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Mistral 7B abierta | $0.0220 | 89% cheaper |
| Llama 3.1 8B abierta | $0.0220 | 89% cheaper |
| Mistral NeMo 12B abierta | $0.0240 | 88% cheaper |
¿Autoalojarlo o pagar por la API?
Qwen3 30B-A3B is open-weight, so you can run it yourself. It needs ~18 GB of VRAM at 4-bit (RTX 4090 24GB (Q4) — fast, 3B active). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calculadora de autohospedaje frente a API calcula el punto de equilibrio para su volumen de tokens.
Preguntas frecuentes
How much does Qwen3 30B-A3B cost per 1M tokens?
Qwen3 30B-A3B costs $0.120 per 1M input tokens and $0.500 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.196 per 1M tokens.
How much does Qwen3 30B-A3B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $4.90 on Qwen3 30B-A3B. A side project (1M in / 0.25M out) costs roughly $0.25.
What is a cheaper alternative to Qwen3 30B-A3B?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 89% less than Qwen3 30B-A3B. It is also open-weight, so self-hosting is an option.
Can I run Qwen3 30B-A3B locally?
Yes. Qwen3 30B-A3B is open-weight and needs about ~18 GB of VRAM at 4-bit quantisation (RTX 4090 24GB (Q4) — fast, 3B active).
Why does Qwen3 30B-A3B charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Qwen3 30B-A3B charges 4.2× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).