Qwen3 235B A22B vs GLM 4.5

Qwen3 235B A22B and GLM 4.5 match in llmrun Score, with values of 99.6 versus 100.9; neither fits 24 GB.

Model A · Alibaba

Qwen3 235B A22B

99.6llmrun Score

235.1B · 22.2B active · 40K context · Apache 2.0 · Apr 2025

ChatFunctions

Model B · Z.ai

GLM 4.5

100.9llmrun Score

358.3B · 35.6B active · 128K context · MIT · Jul 2025

ChatFunctions

Which should you choose?

Choose Qwen3 235B A22B if you want…

Fits a Mac 128 GB
Q3_K_L · 122.4 GB; GLM 4.5 needs 101.4 GB at its smallest quant
Lighter on memory
141.6 vs 215.6 GB at Q4_K_M

Choose GLM 4.5 if you want…

Ahead on the benchmarks
3 of 3 shared boards
Longer context window
128K vs 40K tokens

On your hardware

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

MemoryQwen3 235B A22BGLM 4.5

8 GB

RTX 4060 · 8 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

12 GB

RTX 3060 12GB · 12 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

24 GBreference

RTX 4090 · 24 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

32 GB

RTX 5090 · 32 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

48 GB

RTX A6000 · 48 GB tier

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

Mac 32 GB

Mac Mini M4 · Macs

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Qwen3 235B A22B

Doesn't fit

smallest quant needs 101.8 GB

GLM 4.5

Doesn't fit

smallest quant needs 101.4 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Qwen3 235B A22B

Q3_K_L · ~21 tok/s

122.4 GB · up to 32Kbetter quant

GLM 4.5

IQ2_M · ~20 tok/s

123.8 GB · up to 16K

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

Qwen3 235B A22B GLM 4.5

Overall

Qwen3 235B A22B

99.696–103

GLM 4.5

100.997–105

Coding

Qwen3 235B A22B

101.396–107

GLM 4.5

98.789–108

Agents

Qwen3 235B A22B

no data

GLM 4.5

105.499–112

Reasoning

Qwen3 235B A22B

99.292–106

GLM 4.5

no data

Qwen3 235B A22B · #48 of 92 open models · #30 of 71 that fit ≤192 GB

GLM 4.5 · #44 of 92 open models · #31 of 77 that fit ≤256 GB

Benchmarks

3 shared boards: Qwen3 235B A22B leads 0, GLM 4.5 leads 3 · Benchmarks imported Oct 2026

BoardQwen3 235B A22BGLM 4.5

LMArena Text

Qwen3 235B A22B

1402.2#46/186 open

ArenaLMArena · Oct 2026

GLM 4.5

1411.0#42/186 open

ArenaLMArena · Oct 2026

MMLU-Pro

Qwen3 235B A22B

68.2%#41/144 open

IndependentTIGER-Lab

GLM 4.5

84.6%#10/144 open

IndependentTIGER-Lab

WeirdML

Qwen3 235B A22B

37.3%#29/46 open

IndependentEpoch AI · Apr 2025

GLM 4.5

40.6%#22/46 open

IndependentEpoch AI · Aug 2025

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

Fiction.LiveBench

Qwen3 235B A22B

67.7%#9/25 open

IndependentEpoch AI · Apr 2025

GLM 4.5

58.3%#14/25 open

IndependentEpoch AI · Jul 2025

Only Qwen3 235B A22B (7)

Only GLM 4.5 (4)

VRAM by quantization

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

QuantQwen3 235B A22BGLM 4.5

Q2_K

Qwen3 235B A22B

100 GB85.7 GB file

32K 103 GB · 128K —

GLM 4.5

153 GB131.2 GB file

32K 158 GB · 128K 173 GB

Q3_K_S

Qwen3 235B A22B

103 GB101.4 GB file

32K 106 GB · 128K —

GLM 4.5

157 GB155.0 GB file

32K 162 GB · 128K 178 GB

Q3_K_M

Qwen3 235B A22B

115 GB112.4 GB file

32K 118 GB · 128K —

GLM 4.5

175 GB171.3 GB file

32K 180 GB · 128K 196 GB

Q4_0

Qwen3 235B A22B

not listed

GLM 4.5

180 GB203.0 GB file

32K 185 GB · 128K 200 GB

Q4_K_M

Qwen3 235B A22B

142 GB142.2 GB file

32K 145 GB · 128K —

GLM 4.5

216 GB216.5 GB file

32K 220 GB · 128K 236 GB

Q5_K_M

Qwen3 235B A22B

168 GB166.8 GB file

32K 171 GB · 128K —

GLM 4.5

256 GB254.2 GB file

32K 261 GB · 128K 276 GB

Q6_K

Qwen3 235B A22B

194 GB193.0 GB file

32K 197 GB · 128K —

GLM 4.5

296 GB294.4 GB file

32K 301 GB · 128K 317 GB

Q8_0

Qwen3 235B A22B

236 GB249.9 GB file

32K 239 GB · 128K —

GLM 4.5

359 GB381.0 GB file

32K 364 GB · 128K 379 GB

15 more quants

IQ2_XXS

Qwen3 235B A22B

not listed

GLM 4.5

99.2 GB115.9 GB file

32K 104 GB · 128K 119 GB

IQ2_XS

Qwen3 235B A22B

not listed

GLM 4.5

108 GB101.8 GB file

32K 113 GB · 128K 128 GB

IQ2_S

Qwen3 235B A22B

not listed

GLM 4.5

113 GB102.7 GB file

32K 117 GB · 128K 133 GB

IQ2_M

Qwen3 235B A22B

not listed

GLM 4.5

122 GB122.4 GB file

32K 126 GB · 128K 142 GB

IQ3_XXS

Qwen3 235B A22B

not listed

GLM 4.5

139 GB145.2 GB file

32K 144 GB · 128K 160 GB

IQ3_XS

Qwen3 235B A22B

not listed

GLM 4.5

148 GB148.9 GB file

32K 153 GB · 128K 169 GB

IQ3_M

Qwen3 235B A22B

not listed

GLM 4.5

162 GB164.9 GB file

32K 167 GB · 128K 182 GB

Q3_K_L

Qwen3 235B A22B

121 GB111.2 GB file

32K 124 GB · 128K —

GLM 4.5

184 GB170.6 GB file

32K 189 GB · 128K 205 GB

IQ4_XS

Qwen3 235B A22B

127 GB125.5 GB file

32K 130 GB · 128K —

GLM 4.5

193 GB191.6 GB file

32K 198 GB · 128K 213 GB

IQ4_NL

Qwen3 235B A22B

not listed

GLM 4.5

202 GB202.5 GB file

32K 207 GB · 128K 222 GB

Q4_1

Qwen3 235B A22B

133 GB147.2 GB file

32K 136 GB · 128K —

GLM 4.5

202 GB224.6 GB file

32K 207 GB · 128K 222 GB

Q4_K_S

Qwen3 235B A22B

133 GB133.7 GB file

32K 136 GB · 128K —

GLM 4.5

202 GB203.7 GB file

32K 207 GB · 128K 222 GB

Q5_0

Qwen3 235B A22B

147 GB161.9 GB file

32K 150 GB · 128K —

GLM 4.5

not listed

Q5_K_S

Qwen3 235B A22B

162 GB161.9 GB file

32K 165 GB · 128K —

GLM 4.5

247 GB247.0 GB file

32K 252 GB · 128K 267 GB

BF16

Qwen3 235B A22B

471 GB470.3 GB file

32K 474 GB · 128K —

GLM 4.5

717 GB716.8 GB file

32K 722 GB · 128K 738 GB

How to run each

Qwen3 235B A22B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3-235B-A22B-GGUF:Q4_K_M

All ways to run Qwen3 235B A22B →

GLM 4.5

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-4.5-GGUF:Q4_K_M

All ways to run GLM 4.5 →

Specifications

Specifications of Qwen3 235B A22B and GLM 4.5
Spec	Qwen3 235B A22B	GLM 4.5
Publisher	Alibaba	Z.ai
Parameters	235.1B	358.3B
Active parameters	22B per token	36B per token
Architecture	Qwen3MoeForCausalLM	Glm4MoeForCausalLM
Context	40K tokens	128K tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	Apache 2.0	MIT
Released	Apr 2025	Jul 2025

Frequently Asked Questions

Which is better, Qwen3 235B A22B or GLM 4.5?

Qwen3 235B A22B and GLM 4.5 match in llmrun Score, with values of 99.6 versus 100.9; neither fits 24 GB. Choose Qwen3 235B A22B for fits a Mac 128 GB and lighter on memory; choose GLM 4.5 for ahead on the benchmarks and longer context window.

Which needs less VRAM, Qwen3 235B A22B or GLM 4.5?

At Q4_K_M, Qwen3 235B A22B requires 141.6 GB while GLM 4.5 needs 215.6 GB, making Qwen3 235B A22B the easier model to run on your local setup.

Can I run Qwen3 235B A22B or GLM 4.5 on a 16 GB GPU?

Qwen3 235B A22B does not fit (smallest quant needs 101.8 GB); GLM 4.5 does not fit (smallest quant needs 101.4 GB).

Which has a longer context window, Qwen3 235B A22B or GLM 4.5?

Qwen3 235B A22B supports 40,960 tokens and GLM 4.5 supports 131,072 tokens.