For conversations that mix text and pictures, with room to read a long report in one go.
- Rating
- 4.4
- Downloads
- 36K
- Parameters
- 403B, 17B active
- Context
- 256K
- Download
- 108 to 794 GB
- Commercial use
- Yes
Too big for this Mac
Its smallest size needs 129 GB of memory, more than M4 · 16 GB can give it.
About
How it compares
Of the 6 chat models Outmake recommends for a 512 GB Mac that LM Arena rates, it places 3rd in the public vote, behind GLM 5.3 and Gemma 4 31B.
In LM Arena's public vote among open models, it ranks 4th of 15 for reading pictures and 9th of 62 for text.
Outmake estimates it is 4th fastest of the 7 chat models for a 512 GB Mac. Gemma 4 26B writes about 2.8 times as fast and also reads pictures.
Good to know
Part of its training was practice in simulated worlds with up to a million agents, on tasks that grew harder.
Qwen says training on pictures cost almost no efficiency compared with training on text alone.
Alibaba Cloud runs a hosted version called Qwen3.5-Plus, with extra features for business use.
Sources: Qwen/Qwen3.5-397B-A17B model card, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.
Ratings
4.5 out of 5, from how people voted on its answers.
LM Arena ratings of October 28, 2026 (CC BY 4.0): people vote between two answers without knowing which model wrote which. The bar ends at 1488, the best any open model has. The Arena tests the full model; a small size on a Mac answers a little worse.
Good at
Licence
Apache 2.0. Commercial use: yes. The maker's page has the full terms.
Qwen3.5 397B runs well from a Mac with an M2 Ultra and 192 GB of memory, at UD-IQ2_M, writing about 28 words (37 tokens) a second. 5 of 59 Mac configurations run it well.
Compare with
The nearest models in size, judged for the same Mac.
Sizes
| Size | Download | Memory at 8K | Memory at 32K | Open |
|---|---|---|---|---|
| UD-IQ2_MSmaller | 124 GB | 124 GB | 125 GB | Open |
| UD-Q3_K_XLBalanced | 180 GB | 179 GB | 180 GB | Open |
| UD-Q4_K_XLBest | 246 GB | 246 GB | 246 GB | Open |
All 29 sizes
| Size | Download | Memory at 8K | Memory at 32K | Open |
|---|---|---|---|---|
| UD-IQ1_M | 108 GB | 108 GBestimated | 108 GB | Open |
| UD-IQ2_XXS | 116 GB | 116 GBestimated | 116 GB | Open |
| UD-IQ3_XXS | 141 GB | 141 GBestimated | 142 GB | Open |
| UD-IQ3_S | 147 GB | 147 GBestimated | 148 GB | Open |
| Q3_K_S | 165 GB | 165 GBestimated | 165 GB | Open |
| UD-Q3_K_S | 165 GB | 165 GBestimated | 165 GB | Open |
| Q3_K_M | 178 GB | 178 GBestimated | 179 GB | Open |
| UD-Q3_K_M | 178 GB | 178 GBestimated | 179 GB | Open |
| UD-IQ4_XS | 191 GB | 191 GBestimated | 191 GB | Open |
| UD-IQ4_NL | 195 GB | 195 GBestimated | 195 GB | Open |
| Q4_K_S | 229 GB | 229 GBestimated | 229 GB | Open |
| UD-Q4_K_S | 229 GB | 229 GBestimated | 229 GB | Open |
| MXFP4_MOE | 238 GB | 238 GBestimated | 238 GB | Open |
| Q4_K_M | 245 GB | 245 GBestimated | 245 GB | Open |
| UD-Q4_K_M | 245 GB | 245 GBestimated | 245 GB | Open |
| Q5_K_S | 277 GB | 277 GBestimated | 278 GB | Open |
| UD-Q5_K_S | 277 GB | 277 GBestimated | 278 GB | Open |
| Q5_K_M | 295 GB | 295 GBestimated | 295 GB | Open |
| UD-Q5_K_M | 295 GB | 295 GBestimated | 295 GB | Open |
| UD-Q5_K_XL | 296 GB | 296 GBestimated | 296 GB | Open |
| Q6_K | 328 GB | 328 GBestimated | 328 GB | Open |
| UD-Q6_K | 328 GB | 328 GBestimated | 328 GB | Open |
| UD-Q6_K_XL | 363 GB | 363 GBestimated | 363 GB | Open |
| Q8_0 | 422 GB | 422 GBestimated | 423 GB | Open |
| UD-Q8_K_XL | 429 GB | 429 GBestimated | 429 GB | Open |
| BF16 | 794 GB | 794 GBestimated | 794 GB | Open |
Memory is what llama.cpp's own calculator reported for each size when the catalog was built, with the app's settings. Smaller, Balanced and Best are the three sizes the store names.
Run It Anywhere
Qwen3.5 397B is an open model, so any app that runs GGUF files can run it. These take the UD-Q3_K_XL size from unsloth straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL - llama.cppMac, Windows, Linux
llama-server -hf unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 124 GB | |
| 8 GB | None worth running | needs 124 GB | |
| 10 GB | None worth running | needs 124 GB | |
| 11 GB | None worth running | needs 124 GB | |
| 12 GB | None worth running | needs 124 GB | |
| 16 GB | None worth running | needs 124 GB | |
| 20 GB | None worth running | needs 124 GB | |
| 24 GB | None worth running | needs 124 GB | |
| 32 GB | None worth running | needs 124 GB | |
| 48 GB | None worth running | needs 124 GB |
The largest size, of those that keep three bits a weight or more, whose memory at an 8K chat is under 92% of the card's; the rest is the desktop's. Estimated from the files, the same way as for a Mac; speed on a PC is not estimated yet. A size that doesn't fit the card still runs, slower, with part of it in ordinary memory.
Tests
MMLU-Pro: graduate-level questions in 14 subjects. GPQA Diamond: questions PhD scientists write for each other. Humanity's Last Exam: questions written to be beyond today's models. SWE-bench Verified: real GitHub issues fixed so the project's tests pass. Terminal-Bench 2.0: jobs finished alone in a terminal. AIME 2026: this year's AIME competition problems. Scores are the ones filed on the model's Hugging Face page or the board's own table, read 2026-11-05; some come from the maker.
On every Mac
| Mac | Size | Fit | Memory | Writes | Reads |
|---|---|---|---|---|---|
| M6 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M6 · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M6 · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Pro · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Pro · 48 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Pro · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Max · 36 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Max · 48 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Max · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Max · 128 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Ultra · 96 GB | UD-IQ2_M | Too big | 129 GB | ||
| M5 Ultra · 256 GB | UD-IQ2_M | Runs great | 129 GB | 56 | 956 |
| M5 Ultra · 512 GB | UD-Q4_K_XL | Runs great | 251 GB | 35 | 956 |
| M4 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Pro · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Pro · 48 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Pro · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Max · 36 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Max · 48 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Max · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Max · 96 GB | UD-IQ2_M | Too big | 129 GB | ||
| M4 Max · 128 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 · 8 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Pro · 18 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Pro · 36 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Max · 36 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Max · 48 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Max · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Max · 96 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Max · 128 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Ultra · 96 GB | UD-IQ2_M | Too big | 129 GB | ||
| M3 Ultra · 256 GB | UD-IQ2_M | Runs great | 129 GB | 28 | 199 |
| M3 Ultra · 512 GB | UD-Q4_K_XL | Runs great | 251 GB | 19 | 266 |
| M2 · 8 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 · 24 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Pro · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Pro · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Max · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Max · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Max · 96 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Ultra · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Ultra · 128 GB | UD-IQ2_M | Too big | 129 GB | ||
| M2 Ultra · 192 GB | UD-IQ2_M | Runs great | 129 GB | 28 | 196 |
| M1 · 8 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Pro · 16 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Pro · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Max · 32 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Max · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Ultra · 64 GB | UD-IQ2_M | Too big | 129 GB | ||
| M1 Ultra · 128 GB | UD-IQ2_M | Too big | 129 GB |
Writes and reads are words a second (a token is about three quarters of a word), 4K tokens into a chat, estimated unless marked measured. The size is the one the store offers that Mac. Constants fitted October 11, 2026; how, and how wrong.
Badge for the model card
Shows on Qwen3.5 397B's Hugging Face card which Macs run it well, linked to this page. It updates every morning.
Sizes and files are read from unsloth/Qwen3.5-397B-A17B-GGUF on Hugging Face and checked every morning. The rating is the model's score on the LM Arena text leaderboard (CC BY 4.0), where people vote between two answers without knowing which model wrote which. Catalog of November 4, 2026.
