Outmake Models
Models

Qwen3.5 397B

Alibaba Qwen · February 2026

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.

Text
1441
Coding
1491
Vision
1260

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

  • Chatting in many languages
  • Reading a long report

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

SizeDownloadMemory at 8KMemory at 32KOpen
UD-IQ2_MSmaller124 GB124 GB125 GBOpen
UD-Q3_K_XLBalanced180 GB179 GB180 GBOpen
UD-Q4_K_XLBest246 GB246 GB246 GBOpen
All 29 sizes
SizeDownloadMemory at 8KMemory at 32KOpen
UD-IQ1_M108 GB108 GBestimated108 GBOpen
UD-IQ2_XXS116 GB116 GBestimated116 GBOpen
UD-IQ3_XXS141 GB141 GBestimated142 GBOpen
UD-IQ3_S147 GB147 GBestimated148 GBOpen
Q3_K_S165 GB165 GBestimated165 GBOpen
UD-Q3_K_S165 GB165 GBestimated165 GBOpen
Q3_K_M178 GB178 GBestimated179 GBOpen
UD-Q3_K_M178 GB178 GBestimated179 GBOpen
UD-IQ4_XS191 GB191 GBestimated191 GBOpen
UD-IQ4_NL195 GB195 GBestimated195 GBOpen
Q4_K_S229 GB229 GBestimated229 GBOpen
UD-Q4_K_S229 GB229 GBestimated229 GBOpen
MXFP4_MOE238 GB238 GBestimated238 GBOpen
Q4_K_M245 GB245 GBestimated245 GBOpen
UD-Q4_K_M245 GB245 GBestimated245 GBOpen
Q5_K_S277 GB277 GBestimated278 GBOpen
UD-Q5_K_S277 GB277 GBestimated278 GBOpen
Q5_K_M295 GB295 GBestimated295 GBOpen
UD-Q5_K_M295 GB295 GBestimated295 GBOpen
UD-Q5_K_XL296 GB296 GBestimated296 GBOpen
Q6_K328 GB328 GBestimated328 GBOpen
UD-Q6_K328 GB328 GBestimated328 GBOpen
UD-Q6_K_XL363 GB363 GBestimated363 GBOpen
Q8_0422 GB422 GBestimated423 GBOpen
UD-Q8_K_XL429 GB429 GBestimated429 GBOpen
BF16794 GB794 GBestimated794 GBOpen

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, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/Qwen3.5-397B-A17B-GGUF:UD-Q3_K_XL
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBNone worth runningneeds 124 GB
8 GBNone worth runningneeds 124 GB
10 GBNone worth runningneeds 124 GB
11 GBNone worth runningneeds 124 GB
12 GBNone worth runningneeds 124 GB
16 GBNone worth runningneeds 124 GB
20 GBNone worth runningneeds 124 GB
24 GBNone worth runningneeds 124 GB
32 GBNone worth runningneeds 124 GB
48 GBNone worth runningneeds 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

KnowledgeMMLU-Pro
87.8%
ScienceGPQA Diamond
88.4%
Expert questionsHumanity's Last Exam
48.3%
Software fixesSWE-bench Verified
76.4%
Terminal tasksTerminal-Bench 2.0
52.5%
MathsAIME 2026
93.3%

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
MacSizeFitMemoryWritesReads
M6 · 16 GBUD-IQ2_MToo big129 GB
M6 · 24 GBUD-IQ2_MToo big129 GB
M6 · 32 GBUD-IQ2_MToo big129 GB
M5 · 16 GBUD-IQ2_MToo big129 GB
M5 · 24 GBUD-IQ2_MToo big129 GB
M5 · 32 GBUD-IQ2_MToo big129 GB
M5 Pro · 24 GBUD-IQ2_MToo big129 GB
M5 Pro · 48 GBUD-IQ2_MToo big129 GB
M5 Pro · 64 GBUD-IQ2_MToo big129 GB
M5 Max · 36 GBUD-IQ2_MToo big129 GB
M5 Max · 48 GBUD-IQ2_MToo big129 GB
M5 Max · 64 GBUD-IQ2_MToo big129 GB
M5 Max · 128 GBUD-IQ2_MToo big129 GB
M5 Ultra · 96 GBUD-IQ2_MToo big129 GB
M5 Ultra · 256 GBUD-IQ2_MRuns great129 GB56956
M5 Ultra · 512 GBUD-Q4_K_XLRuns great251 GB35956
M4 · 16 GBUD-IQ2_MToo big129 GB
M4 · 24 GBUD-IQ2_MToo big129 GB
M4 · 32 GBUD-IQ2_MToo big129 GB
M4 Pro · 24 GBUD-IQ2_MToo big129 GB
M4 Pro · 48 GBUD-IQ2_MToo big129 GB
M4 Pro · 64 GBUD-IQ2_MToo big129 GB
M4 Max · 36 GBUD-IQ2_MToo big129 GB
M4 Max · 48 GBUD-IQ2_MToo big129 GB
M4 Max · 64 GBUD-IQ2_MToo big129 GB
M4 Max · 96 GBUD-IQ2_MToo big129 GB
M4 Max · 128 GBUD-IQ2_MToo big129 GB
M3 · 8 GBUD-IQ2_MToo big129 GB
M3 · 16 GBUD-IQ2_MToo big129 GB
M3 · 24 GBUD-IQ2_MToo big129 GB
M3 Pro · 18 GBUD-IQ2_MToo big129 GB
M3 Pro · 36 GBUD-IQ2_MToo big129 GB
M3 Max · 36 GBUD-IQ2_MToo big129 GB
M3 Max · 48 GBUD-IQ2_MToo big129 GB
M3 Max · 64 GBUD-IQ2_MToo big129 GB
M3 Max · 96 GBUD-IQ2_MToo big129 GB
M3 Max · 128 GBUD-IQ2_MToo big129 GB
M3 Ultra · 96 GBUD-IQ2_MToo big129 GB
M3 Ultra · 256 GBUD-IQ2_MRuns great129 GB28199
M3 Ultra · 512 GBUD-Q4_K_XLRuns great251 GB19266
M2 · 8 GBUD-IQ2_MToo big129 GB
M2 · 16 GBUD-IQ2_MToo big129 GB
M2 · 24 GBUD-IQ2_MToo big129 GB
M2 Pro · 16 GBUD-IQ2_MToo big129 GB
M2 Pro · 32 GBUD-IQ2_MToo big129 GB
M2 Max · 32 GBUD-IQ2_MToo big129 GB
M2 Max · 64 GBUD-IQ2_MToo big129 GB
M2 Max · 96 GBUD-IQ2_MToo big129 GB
M2 Ultra · 64 GBUD-IQ2_MToo big129 GB
M2 Ultra · 128 GBUD-IQ2_MToo big129 GB
M2 Ultra · 192 GBUD-IQ2_MRuns great129 GB28196
M1 · 8 GBUD-IQ2_MToo big129 GB
M1 · 16 GBUD-IQ2_MToo big129 GB
M1 Pro · 16 GBUD-IQ2_MToo big129 GB
M1 Pro · 32 GBUD-IQ2_MToo big129 GB
M1 Max · 32 GBUD-IQ2_MToo big129 GB
M1 Max · 64 GBUD-IQ2_MToo big129 GB
M1 Ultra · 64 GBUD-IQ2_MToo big129 GB
M1 Ultra · 128 GBUD-IQ2_MToo big129 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.

Runs on Mac badge

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.

Your Computer

Every model is judged for this Mac. Both are under About This Mac, in the Apple menu.

Every Mac · Every graphics card

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