Qwen3-235B-A22B-Instruct (Jul 2025)
Qwen3-235B-A22B-Instruct (Jul 2025) is an open-weights language model from Qwen, released July 25, 2025. It has 235B parameters (mixture-of-experts, 22B active). On the Epoch Capabilities Index it scores 138.1, rank 132 of 256 rated models.
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The smallest common GPU it runs on is 32 GB of VRAM (with 32 GB of RAM): IQ1_M, GPU + experts in RAM, roughly 20 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Runs · GPU + CPU experts | IQ1_M (experimental) | 31.2 GB | 24.8 GB | ~20 |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| Aider Polyglot | 59.6% |
Links
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