Qwen 3 235B (A22B)
The flagship Qwen 3 release: a 235B-total MoE with 22B active parameters per token. Competitive with DeepSeek V3 and Llama 4 Maverick on reasoning benchmarks while being smaller total. Apache 2.0 — one of the most permissively licenced frontier-class models.
- Parameters
- 235B
- Context length
- 128K
- Modality
- text
- Released
- 2025-04-29
Memory & hardware
- VRAM (fp16)
- 470 GB
- VRAM (Q4)
- 141 GB
- Recommended
- 4× H100 80GB at fp8
- Quantizations
- fp16, fp8, q8_0, q4_k_m
Benchmarks
Hosted inference pricing
USD per million tokens.
| Provider | Input | Output | |
|---|---|---|---|
| together | $0.60 | $0.60 | |
| deepinfraCheapest | $0.40 | $1.40 |
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
vllm serve Qwen/Qwen3-235B-A22B
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-235B-A22B")
model = AutoModelForCausalLM.from_pretrained(
"Qwen/Qwen3-235B-A22B", device_map="auto", torch_dtype="auto"
)Qwen/Qwen3-235B-A22B Related models
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- Context
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- License
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- License
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