Qwen3 235B-A22B — Specifiche
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | Alibaba |
|---|---|
| Tipo | LLM (MoE) |
| Modalità | Testo → Testo |
| Parametri | 235 miliardi totali / 22 miliardi attivi (MoE) |
| Finestra contestuale | 128K |
| Licenza | Apache 2.0 (open) |
| Pesi aperti | Sì |
| Pubblicato | 2025 |
| Prezzo dell’input | $0.45 /1M |
| Prezzo dell’output | $1.8 /1M |
| Provider API | Alibaba, OpenRouter |
Esegui localmente
| VRAM (4-bit) | ~140 GB |
|---|---|
| GPU minima | Multi-GPU o Mac con 192 GB |
What is Qwen3 235B-A22B?
Qwen3 235B-A22B is the open flagship of Alibaba’s Qwen3 family — a 235B mixture-of-experts
activating 22B parameters per token, released under Apache 2.0 with a 128K context. Pricing
is $0.45 in / $1.80 out per million tokens; self-hosting needs around 140 GB at 4-bit, which
means a multi-GPU setup or a 192 GB Mac.
The Mac line is not a curiosity. Apple’s unified memory architecture lets a single
workstation address far more model memory than any consumer GPU, so a 192 GB Mac Studio can
hold a 235B model that would otherwise require a multi-GPU server — at a fraction of the
power draw, noise and facilities cost. For a small team that needs frontier-adjacent open
weights on-premises, that is often the only realistic path, and Qwen3 235B-A22B is one of the
strongest models that fits it. Apache 2.0 licensing makes it cleaner to adopt than the Llama 4
models, which carry EU restrictions. The 128K context is narrower than the 1M offered by
newer flagships, which is the main trade-off to weigh.
Qwen3 235B-A22B pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $0.450 |
|---|---|
| Output (per ogni milione di token) | $1.80 |
| Rapporto output/input | 4× |
| Combinato (4:1 in:out) | $0.720 per 1 milione di token |
What Qwen3 235B-A22B costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $0.90 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $18 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $180 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to Qwen3 235B-A22B
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| DeepSeek V4-Pro aperta | $0.522 | 28% cheaper |
| DeepSeek V4-Flash aperta | $0.168 | 77% cheaper |
| Llama 4 Maverick aperta | $0.320 | 56% cheaper |
Eseguirlo in autonomia o pagare l’API?
Qwen3 235B-A22B is open-weight, so you can run it yourself. It needs ~140 GB of VRAM at 4-bit (Multi-GPU or Mac 192GB). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calcolatore self-hosting vs API calcola il punto di pareggio in base al tuo volume di token.
Domande frequenti
How much does Qwen3 235B-A22B cost per 1M tokens?
Qwen3 235B-A22B costs $0.450 per 1M input tokens and $1.80 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.720 per 1M tokens.
How much does Qwen3 235B-A22B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $18 on Qwen3 235B-A22B. A side project (1M in / 0.25M out) costs roughly $0.90.
What is a cheaper alternative to Qwen3 235B-A22B?
DeepSeek V4-Pro is the strongest cheaper option in our database at $0.522 per 1M blended — about 28% less than Qwen3 235B-A22B. It is also open-weight, so self-hosting is an option.
Can I run Qwen3 235B-A22B locally?
Yes. Qwen3 235B-A22B is open-weight and needs about ~140 GB of VRAM at 4-bit quantisation (Multi-GPU or Mac 192GB).
Why does Qwen3 235B-A22B 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 235B-A22B charges 4× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel Database di modelli IA o il Classifica LLM.