llmrun

Qwen3.5 397B A17B vs GLM 5

Qwen3.5 397B A17B and GLM 5 match in llmrun Score, with values of 112.6 versus 111.4; neither fits 24 GB.

Model A · Alibaba

Qwen3.5 397B A17B
112.6llmrun Score

403.4B · 24.4B active · 256K context · Apache 2.0 · Feb 2026

VisionFunctions

Model B · Z.ai

GLM 5
111.4llmrun Score

753.9B · 42.4B active · 198K context · MIT · Feb 2026

ChatFunctions

Which should you choose?

Choose Qwen3.5 397B A17B if you want…

  • Lighter on memory

    242.5 vs 456.5 GB at Q4_K_M

  • Also does vision

    GLM 5 doesn't list it

Choose GLM 5 if you want…

  • Also does chat

    Qwen3.5 397B A17B doesn't list it

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

8 GB

RTX 4060 · 8 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

24 GBreference

RTX 4090 · 24 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

32 GB

RTX 5090 · 32 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

48 GB

RTX A6000 · 48 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

Mac 32 GB

Mac Mini M4 · Macs

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Qwen3.5 397B A17B

IQ2_XS · ~32 tok/s

121.6 GB · up to 128Kfits

GLM 5

Doesn't fit

smallest quant needs 209.1 GB

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

Overall

Qwen3.5 397B A17B

112.6109–117

GLM 5

111.4109–114

Coding

Qwen3.5 397B A17B

no data

GLM 5

110.2103–118

Agents

Qwen3.5 397B A17B

no data

GLM 5

117.9112–124

Math

Qwen3.5 397B A17B

112.4107–118

GLM 5

no data

Reasoning

Qwen3.5 397B A17B

114.6107–122

GLM 5

109.1105–113

Qwen3.5 397B A17B · #18 of 92 open models · #8 of 77 that fit ≤256 GB

GLM 5 · #21 of 92 open models · #18 of 88 that fit ≤512 GB

Benchmarks

6 shared boards: Qwen3.5 397B A17B leads 3, GLM 5 leads 3 · Benchmarks imported Oct 2026

GPQA Diamond

Qwen3.5 397B A17B

86.4%#17/97 open

IndependentEpoch AI · Feb 2026

GLM 5

87.8%#15/97 open

IndependentEpoch AI · Feb 2026

LMArena Text

Qwen3.5 397B A17B

1441.7#17/186 open

ArenaLMArena · Oct 2026

GLM 5

1457.5#12/186 open

ArenaLMArena · Oct 2026

AIME 2024/2025

Qwen3.5 397B A17B

88.9%#15/85 open

IndependentEpoch AI · Feb 2026

GLM 5

80.0%#24/85 open

IndependentEpoch AI · Feb 2026

LMArena WebDev

Qwen3.5 397B A17B

1399.9#26/50 open

ArenaLMArena · Oct 2026

GLM 5

1434.4#23/50 open

ArenaLMArena · Oct 2026

MMLU-Pro

Qwen3.5 397B A17B

87.8%#2/144 open

IndependentTIGER-Lab

GLM 5

86.0%#6/144 open

IndependentTIGER-Lab

Chess Puzzles

Qwen3.5 397B A17B

13.0%#19/67 open

IndependentEpoch AI · Feb 2026

GLM 5

10.0%#25/67 open

IndependentEpoch AI · Feb 2026

16 more boards (other shared and single-model boards)

Only Qwen3.5 397B A17B (5)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

Q2_K

Qwen3.5 397B A17B

172 GB146.3 GB file

32K 172 GB · 128K 174 GB

GLM 5

325 GB276.0 GB file

32K 324 GB · 128K 332 GB

Q3_K_S

Qwen3.5 397B A17B

177 GB164.3 GB file

32K 177 GB · 128K 179 GB

GLM 5

334 GB326.3 GB file

32K 333 GB · 128K 342 GB

Q3_K_M

Qwen3.5 397B A17B

197 GB177.4 GB file

32K 197 GB · 128K 199 GB

GLM 5

372 GB360.3 GB file

32K 371 GB · 128K 380 GB

Q4_0

Qwen3.5 397B A17B

202 GB~201.7 GB file

32K 203 GB · 128K 204 GB

GLM 5

381 GB427.1 GB file

32K 380 GB · 128K 389 GB

Q4_K_M

Qwen3.5 397B A17B

242 GB244.1 GB file

32K 243 GB · 128K 244 GB

GLM 5

457 GB455.9 GB file

32K 456 GB · 128K 464 GB

Q5_K_M

Qwen3.5 397B A17B

288 GB293.7 GB file

32K 288 GB · 128K 290 GB

GLM 5

541 GB535.2 GB file

32K 540 GB · 128K 549 GB

Q6_K

Qwen3.5 397B A17B

333 GB326.6 GB file

32K 334 GB · 128K 335 GB

GLM 5

626 GB619.4 GB file

32K 625 GB · 128K 634 GB

Q8_0

Qwen3.5 397B A17B

404 GB421.5 GB file

32K 404 GB · 128K 406 GB

GLM 5

758 GB801.3 GB file

32K 757 GB · 128K 766 GB

17 more quants

IQ2_XXS

Qwen3.5 397B A17B

111 GB114.9 GB file

32K 112 GB · 128K 113 GB

GLM 5

212 GB241.1 GB file

32K 211 GB · 128K 219 GB

IQ2_XS

Qwen3.5 397B A17B

121 GB125.4 GB file

32K 122 GB · 128K 123 GB

GLM 5

not listed

IQ2_S

Qwen3.5 397B A17B

126 GB127.3 GB file

32K 127 GB · 128K 128 GB

GLM 5

not listed

IQ2_M

Qwen3.5 397B A17B

137 GB123.1 GB file

32K 137 GB · 128K 138 GB

GLM 5

259 GB254.8 GB file

32K 258 GB · 128K 267 GB

IQ3_XXS

Qwen3.5 397B A17B

157 GB140.3 GB file

32K 157 GB · 128K 159 GB

GLM 5

296 GB304.5 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

Qwen3.5 397B A17B

167 GB188.2 GB file

32K 167 GB · 128K 169 GB

GLM 5

not listed

IQ3_S

Qwen3.5 397B A17B

172 GB146.4 GB file

32K 172 GB · 128K 174 GB

GLM 5

not listed

IQ3_M

Qwen3.5 397B A17B

182 GB196.0 GB file

32K 182 GB · 128K 184 GB

GLM 5

not listed

Q3_K_L

Qwen3.5 397B A17B

207 GB195.9 GB file

32K 208 GB · 128K 209 GB

GLM 5

not listed

IQ4_XS

Qwen3.5 397B A17B

217 GB189.7 GB file

32K 218 GB · 128K 219 GB

GLM 5

409 GB402.9 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Qwen3.5 397B A17B

227 GB193.8 GB file

32K 228 GB · 128K 229 GB

GLM 5

428 GB425.9 GB file

32K 427 GB · 128K 436 GB

Q4_1

Qwen3.5 397B A17B

227 GB256.1 GB file

32K 228 GB · 128K 229 GB

GLM 5

428 GB472.7 GB file

32K 427 GB · 128K 436 GB

Q4_K_S

Qwen3.5 397B A17B

227 GB228.0 GB file

32K 228 GB · 128K 229 GB

GLM 5

428 GB428.4 GB file

32K 427 GB · 128K 436 GB

Q4_K_L

Qwen3.5 397B A17B

248 GB249.0 GB file

32K 248 GB · 128K 249 GB

GLM 5

not listed

Q5_K_S

Qwen3.5 397B A17B

278 GB276.6 GB file

32K 278 GB · 128K 280 GB

GLM 5

523 GB519.7 GB file

32K 522 GB · 128K 530 GB

Q5_K_L

Qwen3.5 397B A17B

293 GB290.6 GB file

32K 293 GB · 128K 295 GB

GLM 5

not listed

BF16

Qwen3.5 397B A17B

807 GB793.0 GB file

32K 808 GB · 128K 809 GB

GLM 5

1512 GB1508.0 GB file

32K 1511 GB · 128K 1520 GB

How to run each

Specifications

Specifications of Qwen3.5 397B A17B and GLM 5
SpecQwen3.5 397B A17BGLM 5
PublisherAlibabaZ.ai
Parameters403.4B753.9B
Active parameters24B per token42B per token
ArchitectureQwen3_5MoeForConditionalGenerationGlmMoeDsaForCausalLM
Context256K tokens198K tokens
ModalitiesVision, Function-callingChat, Function-calling
LicenseApache 2.0MIT
ReleasedFeb 2026Feb 2026

Frequently Asked Questions

Which is better, Qwen3.5 397B A17B or GLM 5?

Qwen3.5 397B A17B and GLM 5 match in llmrun Score, with values of 112.6 versus 111.4; neither fits 24 GB. Choose Qwen3.5 397B A17B for lighter on memory and also does vision; choose GLM 5 for also does chat.

Which needs less VRAM, Qwen3.5 397B A17B or GLM 5?

At Q4_K_M, Qwen3.5 397B A17B requires 242.5 GB while GLM 5 needs 456.5 GB, making Qwen3.5 397B A17B the easier model to run on your local setup.

Can I run Qwen3.5 397B A17B or GLM 5 on a 16 GB GPU?

Qwen3.5 397B A17B does not fit (smallest quant needs 111.5 GB); GLM 5 does not fit (smallest quant needs 209.1 GB).

Which has a longer context window, Qwen3.5 397B A17B or GLM 5?

Qwen3.5 397B A17B supports 262,144 tokens and GLM 5 supports 202,752 tokens.

Qwen3.5 397B A17B vs GLM 5 — VRAM & GPU Comparison | llmrun