DeepSeek V3.2 Exp vs GLM 5.3 Flash

GLM 5.3 Flash leads llmrun Score 124.1 to 109.0; neither fits 24 GB.

Run GLM 5.3 Flash in the cloud →

Model A · DeepSeek

DeepSeek V3.2 Exp

109.0llmrun Score

685.4B · 41B active · 160K context · MIT · Sep 2025

ChatFunctions

Model B · Z.ai

GLM 5.3 Flash

124.1llmrun Score

321.3B · 18.3B active · 1M context · MIT · Aug 2026

VisionFunctions

Which should you choose?

Choose DeepSeek V3.2 Exp if you want…

Also does chat
GLM 5.3 Flash doesn't list it

Choose GLM 5.3 Flash if you want…

Higher llmrun Score
124.1 vs 109.0
Stronger at science
123.5 vs 101.2
Stronger at reasoning
127.4 vs 113.3
Lighter on memory
194.6 vs 415.1 GB at Q4_K_M
Longer context window
1M vs 160K tokens
Also does vision
DeepSeek V3.2 Exp doesn't list it

On your hardware

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

MemoryDeepSeek V3.2 ExpGLM 5.3 Flash

8 GB

RTX 4060 · 8 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

Doesn't fit

smallest quant needs 100.7 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

GLM 5.3 Flash

IQ2_S · ~41 tok/s

112.8 GB · up to 16Kfits

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

DeepSeek V3.2 Exp GLM 5.3 Flash

Overall

DeepSeek V3.2 Exp

109.0105–114

GLM 5.3 Flash

124.1122–126

Coding

DeepSeek V3.2 Exp

106.8101–113

GLM 5.3 Flash

116.9112–122

Agents

DeepSeek V3.2 Exp

no data

GLM 5.3 Flash

127.4123–132

Math

DeepSeek V3.2 Exp

no data

GLM 5.3 Flash

121.4118–125

Science

DeepSeek V3.2 Exp

101.280–123

GLM 5.3 Flash

123.5111–136

Reasoning

DeepSeek V3.2 Exp

113.3104–123

GLM 5.3 Flash

127.4124–131

DeepSeek V3.2 Exp · #35 of 106 open models · #31 of 102 that fit ≤512 GB

GLM 5.3 Flash · #12 of 106 open models · #6 of 89 that fit ≤256 GB

Benchmarks

2 shared boards: DeepSeek V3.2 Exp leads 0, GLM 5.3 Flash leads 2 · Benchmarks imported Nov 2026

BoardDeepSeek V3.2 ExpGLM 5.3 Flash

SciCode

DeepSeek V3.2 Exp

38.9%#40/72 open

Lab-reportedEpoch AI · Sep 2025

GLM 5.3 Flash

51.6%#11/72 open

Lab-reportedEpoch AI · Aug 2026

CritPt

DeepSeek V3.2 Exp

2.9%#30/84 open

Lab-reportedEpoch AI · Sep 2025

GLM 5.3 Flash

15.4%#10/84 open

Lab-reportedEpoch AI · Aug 2026

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

LMArena Text

DeepSeek V3.2 Exp

1425.1#29/188 open

ArenaLMArena · Oct 2026

GLM 5.3 Flash

1476.5#4/188 open

ArenaLMArena · Oct 2026

LMArena WebDev

DeepSeek V3.2 Exp

1271.4#49/55 open

ArenaLMArena · Oct 2026

GLM 5.3 Flash

1606.6#9/55 open

ArenaLMArena · Oct 2026

Only DeepSeek V3.2 Exp (8)

Only GLM 5.3 Flash (27)

VRAM by quantization

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

QuantDeepSeek V3.2 ExpGLM 5.3 Flash

Q2_K

DeepSeek V3.2 Exp

295 GB~291.3 GB file

32K 294 GB · 128K 301 GB

GLM 5.3 Flash

138 GB114.2 GB file

32K 161 GB · 128K 234 GB

Q3_K_M

DeepSeek V3.2 Exp

338 GB~334.1 GB file

32K 337 GB · 128K 344 GB

GLM 5.3 Flash

158 GB149.1 GB file

32K 181 GB · 128K 254 GB

Q4_K_M

DeepSeek V3.2 Exp

415 GB~411.2 GB file

32K 414 GB · 128K 421 GB

GLM 5.3 Flash

195 GB188.7 GB file

32K 217 GB · 128K 290 GB

Q5_K_M

DeepSeek V3.2 Exp

492 GB~488.4 GB file

32K 491 GB · 128K 498 GB

GLM 5.3 Flash

231 GB244.7 GB file

32K 253 GB · 128K 326 GB

Q6_K

DeepSeek V3.2 Exp

569 GB~565.5 GB file

32K 568 GB · 128K 575 GB

GLM 5.3 Flash

267 GB~265.1 GB file

32K 290 GB · 128K 362 GB

Q8_0

DeepSeek V3.2 Exp

689 GB~685.4 GB file

32K 688 GB · 128K 695 GB

GLM 5.3 Flash

323 GB341.0 GB file

32K 346 GB · 128K 418 GB

8 more quants

IQ2_XXS

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

90.2 GB101.8 GB file

32K 113 GB · 128K 185 GB

IQ2_XS

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

98.2 GB92.1 GB file

32K 121 GB · 128K 193 GB

IQ2_S

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

102 GB113.6 GB file

32K 125 GB · 128K 197 GB

IQ3_XXS

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

126 GB120.4 GB file

32K 149 GB · 128K 221 GB

IQ3_S

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

138 GB149.6 GB file

32K 161 GB · 128K 234 GB

IQ3_M

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

146 GB150.7 GB file

32K 169 GB · 128K 242 GB

IQ4_XS

DeepSeek V3.2 Exp

not listed

GLM 5.3 Flash

175 GB156.8 GB file

32K 197 GB · 128K 270 GB

BF16

DeepSeek V3.2 Exp

1375 GB~1370.8 GB file

32K 1373 GB · 128K 1380 GB

GLM 5.3 Flash

644 GB641.6 GB file

32K 667 GB · 128K 740 GB

How to run each

DeepSeek V3.2 Exp

No local recipe · Q4_K_M

No GGUF repo entry exists for this model yet.

All ways to run DeepSeek V3.2 Exp →

GLM 5.3 Flash

Ollama · Q4_K_M

$ollama run hf.co/batiai/GLM-5.3-Flash-GGUF:Q4_K_M

All ways to run GLM 5.3 Flash →

Specifications

Specifications of DeepSeek V3.2 Exp and GLM 5.3 Flash
Spec	DeepSeek V3.2 Exp	GLM 5.3 Flash
Publisher	DeepSeek	Z.ai
Parameters	685.4B	321.3B
Active parameters	41B per token	18B per token
Architecture	DeepseekV32ForCausalLM	Glm5NextForConditionalGeneration
Context	160K tokens	1M tokens
Modalities	Chat, Function-calling	Vision, Function-calling
License	MIT	MIT
Released	Sep 2025	Aug 2026

Frequently Asked Questions

Which is better, DeepSeek V3.2 Exp or GLM 5.3 Flash?

GLM 5.3 Flash leads llmrun Score 124.1 to 109.0; neither fits 24 GB. Choose DeepSeek V3.2 Exp for also does chat; choose GLM 5.3 Flash for higher llmrun Score and stronger at science.

Which needs less VRAM, DeepSeek V3.2 Exp or GLM 5.3 Flash?

At Q4_K_M, DeepSeek V3.2 Exp requires 415.1 GB while GLM 5.3 Flash needs 194.6 GB, making GLM 5.3 Flash the easier model to run on your local setup.

Can I run DeepSeek V3.2 Exp or GLM 5.3 Flash on a 16 GB GPU?

DeepSeek V3.2 Exp does not fit (smallest quant needs 292.8 GB); GLM 5.3 Flash does not fit (smallest quant needs 100.7 GB).

Which has a longer context window, DeepSeek V3.2 Exp or GLM 5.3 Flash?

DeepSeek V3.2 Exp supports 163,840 tokens and GLM 5.3 Flash supports 1,048,576 tokens.