llmrun

Qwen3.5 397B A17B vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 113.0; neither fits 24 GB.

Model A · Alibaba

Qwen3.5 397B A17B
113.0llmrun Score

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

VisionFunctions

Model B · Z.ai

GLM 5.3
130.1llmrun Score

753.3B · 41.8B active · 1M context · Other · Aug 2026

ChatFunctions

Which should you choose?

Choose Qwen3.5 397B A17B if you want…

  • Lighter on memory

    242.5 vs 456.2 GB at Q4_K_M

  • Also does vision

    GLM 5.3 doesn't list it

  • More permissive license

    Apache 2.0 vs Other

Choose GLM 5.3 if you want…

  • Higher llmrun Score

    130.1 vs 113.0

  • Stronger at math

    128.6 vs 112.4

  • Stronger at reasoning

    130.1 vs 116.8

  • Ahead on the benchmarks

    6 of 7 shared boards

  • Longer context window

    1M vs 256K tokens

  • 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 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen3.5 397B A17B

Doesn't fit

smallest quant needs 111.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 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 5.3

Doesn't fit

smallest quant needs 256 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

113.0109–117

GLM 5.3

130.1128–132

Coding

Qwen3.5 397B A17B

no data

GLM 5.3

130.1124–136

Agents

Qwen3.5 397B A17B

no data

GLM 5.3

133.4130–137

Math

Qwen3.5 397B A17B

112.4107–118

GLM 5.3

128.6126–131

Science

Qwen3.5 397B A17B

no data

GLM 5.3

130.8119–143

Reasoning

Qwen3.5 397B A17B

116.8109–125

GLM 5.3

130.1124–136

Qwen3.5 397B A17B · #20 of 100 open models · #9 of 84 that fit ≤256 GB

GLM 5.3 · #4 of 100 open models · #3 of 96 that fit ≤512 GB

Benchmarks

7 shared boards: Qwen3.5 397B A17B leads 0, GLM 5.3 leads 6 · Benchmarks imported Oct 2026

GPQA Diamond

Qwen3.5 397B A17B

86.4%#18/98 open

IndependentEpoch AI · Feb 2026

GLM 5.3

90.9%#7/98 open

IndependentEpoch AI · Aug 2026

AIME 2024/2025

Qwen3.5 397B A17B

88.9%#16/86 open

IndependentEpoch AI · Feb 2026

GLM 5.3

91.1%#13/86 open

IndependentEpoch AI · Aug 2026

FrontierMath

Qwen3.5 397B A17B

31.2%#16/17 open

IndependentEpoch AI · Feb 2026

GLM 5.3

68.8%#3/17 open

IndependentEpoch AI · Aug 2026

APEX-Agents

Qwen3.5 397B A17B

24.9%#13/16 open

Lab-reportedEpoch AI · Feb 2026

GLM 5.3

56.6%#2/16 open

Lab-reportedEpoch AI · Aug 2026

DTBench

Qwen3.5 397B A17B

87.5%#12/68 open

Lab-reportedEpoch AI · Feb 2026

GLM 5.3

87.7%#11/68 open

Lab-reportedEpoch AI · Aug 2026

LMCA

Qwen3.5 397B A17B

37.9%#10/54 open

Lab-reportedEpoch AI · Feb 2026

GLM 5.3

55.5%#1/54 open

Lab-reportedEpoch AI · Aug 2026

Mystery Game Puzzles

Qwen3.5 397B A17B

18.0%#10/18 open

IndependentEpoch AI · Feb 2026

GLM 5.3

33.0%#4/18 open

IndependentEpoch AI · Aug 2026

26 more boards (other shared and single-model boards)
LMArena Text

Qwen3.5 397B A17B

1441.6#17/187 open

ArenaLMArena · Oct 2026

GLM 5.3

1478.5#3/187 open

ArenaLMArena · Oct 2026

LMArena WebDev

Qwen3.5 397B A17B

1400.5#28/52 open

ArenaLMArena · Oct 2026

GLM 5.3

1621.1#6/52 open

ArenaLMArena · Oct 2026

Only Qwen3.5 397B A17B (1)

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 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_S

Qwen3.5 397B A17B

177 GB164.3 GB file

32K 177 GB · 128K 179 GB

GLM 5.3

not listed

Q3_K_M

Qwen3.5 397B A17B

197 GB177.4 GB file

32K 197 GB · 128K 199 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

Qwen3.5 397B A17B

202 GB~201.7 GB file

32K 203 GB · 128K 204 GB

GLM 5.3

not listed

Q4_K_M

Qwen3.5 397B A17B

242 GB244.1 GB file

32K 243 GB · 128K 244 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

Qwen3.5 397B A17B

288 GB293.7 GB file

32K 288 GB · 128K 290 GB

GLM 5.3

541 GB~536.8 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 5.3

626 GB~621.5 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 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

17 more quants

IQ2_XXS

Qwen3.5 397B A17B

111 GB114.9 GB file

32K 112 GB · 128K 113 GB

GLM 5.3

not listed

IQ2_XS

Qwen3.5 397B A17B

121 GB125.4 GB file

32K 122 GB · 128K 123 GB

GLM 5.3

not listed

IQ2_S

Qwen3.5 397B A17B

126 GB127.3 GB file

32K 127 GB · 128K 128 GB

GLM 5.3

not listed

IQ2_M

Qwen3.5 397B A17B

137 GB123.1 GB file

32K 137 GB · 128K 138 GB

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

Qwen3.5 397B A17B

157 GB140.3 GB file

32K 157 GB · 128K 159 GB

GLM 5.3

296 GB281.7 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 5.3

not listed

IQ3_S

Qwen3.5 397B A17B

172 GB146.4 GB file

32K 172 GB · 128K 174 GB

GLM 5.3

not listed

IQ3_M

Qwen3.5 397B A17B

182 GB196.0 GB file

32K 182 GB · 128K 184 GB

GLM 5.3

not listed

Q3_K_L

Qwen3.5 397B A17B

207 GB195.9 GB file

32K 208 GB · 128K 209 GB

GLM 5.3

not listed

IQ4_XS

Qwen3.5 397B A17B

217 GB189.7 GB file

32K 218 GB · 128K 219 GB

GLM 5.3

409 GB365.3 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 5.3

not listed

Q4_1

Qwen3.5 397B A17B

227 GB256.1 GB file

32K 228 GB · 128K 229 GB

GLM 5.3

not listed

Q4_K_S

Qwen3.5 397B A17B

227 GB228.0 GB file

32K 228 GB · 128K 229 GB

GLM 5.3

not listed

Q4_K_L

Qwen3.5 397B A17B

248 GB249.0 GB file

32K 248 GB · 128K 249 GB

GLM 5.3

not listed

Q5_K_S

Qwen3.5 397B A17B

278 GB276.6 GB file

32K 278 GB · 128K 280 GB

GLM 5.3

not listed

Q5_K_L

Qwen3.5 397B A17B

293 GB290.6 GB file

32K 293 GB · 128K 295 GB

GLM 5.3

not listed

BF16

Qwen3.5 397B A17B

807 GB793.0 GB file

32K 808 GB · 128K 809 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

Specifications

Specifications of Qwen3.5 397B A17B and GLM 5.3
SpecQwen3.5 397B A17BGLM 5.3
PublisherAlibabaZ.ai
Parameters403.4B753.3B
Active parameters24B per token42B per token
ArchitectureQwen3_5MoeForConditionalGenerationGlmMoeDsaForCausalLM
Context256K tokens1M tokens
ModalitiesVision, Function-callingChat, Function-calling
LicenseApache 2.0Other
ReleasedFeb 2026Aug 2026

Frequently Asked Questions

Which is better, Qwen3.5 397B A17B or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 113.0; neither fits 24 GB. Choose Qwen3.5 397B A17B for lighter on memory and also does vision; choose GLM 5.3 for higher llmrun Score and stronger at math.

Which needs less VRAM, Qwen3.5 397B A17B or GLM 5.3?

At Q4_K_M, Qwen3.5 397B A17B requires 242.5 GB while GLM 5.3 needs 456.2 GB, making Qwen3.5 397B A17B the easier model to run on your local setup.

Can I run Qwen3.5 397B A17B or GLM 5.3 on a 16 GB GPU?

Qwen3.5 397B A17B does not fit (smallest quant needs 111.5 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, Qwen3.5 397B A17B or GLM 5.3?

Qwen3.5 397B A17B supports 262,144 tokens and GLM 5.3 supports 1,048,576 tokens.

Qwen3.5 397B A17B vs GLM 5.3 — VRAM & GPU Comparison | llmrun