Qwen / text-generation updated 1 year ago

Qwen3-235B-A22B

Name: Qwen3-235B-A22B
Author: Qwen

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

Params

235.1 B

Context

40,960

Downloads 30d

695 K

Likes

1,106

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

784 K694 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	470.2 GB	553.0 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 40K ctx	470.2 GB	694.0 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-235b-a22b
{
  "hf_id": "Qwen/Qwen3-235B-A22B",
  "params_b": 235.09,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 694579,
  "vram_estimates": [
    { "quant": "bf16", "gb": 553.0 }
  ],
  "updated_at": "2026-07-28T18:04:07Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3MoeForCausalLM
Parameters: 235.1 B
Tensor type: BF16
Context length: 40,960
Vocabulary: 151,936
Layers / heads: 94 / 64
Licence: apache-2.0
First seen on the Hub: 2025-04-27
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Derivative Qwen3-235B-A22B-GGUF unsloth 184 K Derivative Qwen3-235B-A22B-NVFP4 nvidia 173 K Derivative Qwen3-235B-A22B-FP8 Qwen 163 K

Compare with

DeepSeek-R1 9.9 M gpt-oss-120b 4.2 M DeepSeek-V4-Flash 2.7 M GLM-5.2-FP8 2.7 M GLM-5.2-NVFP4 1.8 M MiniMax-M2.7 924 K

Appears in

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