GLM 5.2 vs GLM 5.3 Flash
GLM 5.2 and GLM 5.3 Flash match in llmrun Score, with values of 122.9 versus 124.2; neither fits 24 GB.
Model A · Z.ai
GLM 5.2753.3B · 41.8B active · 1M context · MIT · Jun 2026
Model B · Z.ai
GLM 5.3 Flash321.3B · 18.3B active · 1M context · MIT · Aug 2026
Choose GLM 5.2 if you want…
Also does chat
GLM 5.3 Flash doesn't list it
Choose GLM 5.3 Flash if you want…
Stronger at reasoning
127.4 vs 119.8
Lighter on memory
194.6 vs 456.2 GB at Q4_K_M
Also does vision
GLM 5.2 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
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
24 GBreference
RTX 4090 · 24 GB tier
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
32 GB
RTX 5090 · 32 GB tier
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
48 GB
RTX A6000 · 48 GB tier
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 32 GB
Mac Mini M4 · Macs
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
GLM 5.2
Doesn't fit
smallest quant needs 208.9 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 128 GB
Mac Studio M4 Max · Macs
GLM 5.2
Doesn't fit
smallest quant needs 208.9 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).
Overall
GLM 5.2
GLM 5.3 Flash
Coding
GLM 5.2
GLM 5.3 Flash
Agents
GLM 5.2
GLM 5.3 Flash
Math
GLM 5.2
GLM 5.3 Flash
Science
GLM 5.2
GLM 5.3 Flash
Reasoning
GLM 5.2
GLM 5.3 Flash
GLM 5.2 · #10 of 100 open models · #8 of 96 that fit ≤512 GB
GLM 5.3 Flash · #9 of 100 open models · #4 of 84 that fit ≤256 GB
GLM 5.2
91.9%#2/98 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
90.1%#9/98 open
IndependentEpoch AI · Aug 2026
GLM 5.2
79.7#3/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
79.0#5/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
78.6#13/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
77.6#15/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
86.4%#21/86 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
93.9%#9/86 open
IndependentEpoch AI · Aug 2026
GLM 5.2
59.2%#6/17 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
55.8%#9/17 open
IndependentEpoch AI · Aug 2026
GLM 5.2
89.8#5/19 open
IndependentLiveBench · Jun 2026
GLM 5.3 Flash
81.2#15/19 open
IndependentLiveBench · Jun 2026
GLM 5.2
22.8%#9/19 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
65.8%#2/19 open
IndependentEpoch AI · Aug 2026
GLM 5.2
51.2%#8/66 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
51.6%#6/66 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
77.0%#9/19 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
91.0%#3/19 open
IndependentEpoch AI · Aug 2026
GLM 5.2
29.3%#3/13 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
17.1%#10/13 open
IndependentEpoch AI · Aug 2026
27 more boards (other shared and single-model boards)
GLM 5.2
43.8%#4/5 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
63.4%#3/5 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
24.5%#7/12 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
31.8%#4/12 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
1047.0#9/43 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
303.6#39/43 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
45.2%#7/16 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
52.8%#3/16 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
22.0%#6/14 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
21.0%#9/14 open
IndependentEpoch AI · Aug 2026
GLM 5.2
20.9%#3/66 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
15.4%#7/66 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
19.0%#8/18 open
IndependentEpoch AI · Jun 2026
GLM 5.3 Flash
8.0%#15/18 open
IndependentEpoch AI · Aug 2026
GLM 5.2
35.0%#9/26 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
21.0%#12/26 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
55.6%#2/13 open
Lab-reportedEpoch AI · Jun 2026
GLM 5.3 Flash
52.5%#4/13 open
Lab-reportedEpoch AI · Aug 2026
GLM 5.2
1475.9#4/187 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1473.8#6/187 open
ArenaLMArena · Oct 2026
GLM 5.2
1604.6#9/52 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1605.5#8/52 open
ArenaLMArena · Oct 2026
Only GLM 5.2 (7)
- SimpleQA34.2%
- SimpleBench58.8%
- WeirdML70.1%
- DTBench93.6%
- EBR-bench9.5%
- LMCA45.8%
- Vending-Bench 28313.8
Only GLM 5.3 Flash (9)
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
GLM 5.2
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
GLM 5.3 Flash
138 GB114.2 GB file
32K 161 GB · 128K 234 GB
Q3_K_M
GLM 5.2
371 GB342.7 GB file
32K 370 GB · 128K 379 GB
GLM 5.3 Flash
158 GB149.1 GB file
32K 181 GB · 128K 254 GB
Q4_K_M
GLM 5.2
456 GB465.8 GB file
32K 455 GB · 128K 464 GB
GLM 5.3 Flash
195 GB188.7 GB file
32K 217 GB · 128K 290 GB
Q5_K_M
GLM 5.2
541 GB560.8 GB file
32K 540 GB · 128K 549 GB
GLM 5.3 Flash
231 GB~228.9 GB file
32K 253 GB · 128K 326 GB
Q6_K
GLM 5.2
626 GB625.9 GB file
32K 625 GB · 128K 634 GB
GLM 5.3 Flash
267 GB~265.1 GB file
32K 290 GB · 128K 362 GB
Q8_0
GLM 5.2
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
GLM 5.3 Flash
323 GB341.0 GB file
32K 346 GB · 128K 418 GB
11 more quants
IQ2_XXS
GLM 5.2
211 GB238.5 GB file
32K 210 GB · 128K 219 GB
GLM 5.3 Flash
90.2 GB101.8 GB file
32K 113 GB · 128K 185 GB
IQ2_XS
GLM 5.2
230 GB230.0 GB file
32K 229 GB · 128K 238 GB
GLM 5.3 Flash
not listed
IQ2_S
GLM 5.2
not listed
GLM 5.3 Flash
102 GB113.6 GB file
32K 125 GB · 128K 197 GB
IQ2_M
GLM 5.2
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
GLM 5.3 Flash
not listed
IQ3_XXS
GLM 5.2
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
GLM 5.3 Flash
126 GB120.4 GB file
32K 149 GB · 128K 221 GB
IQ3_S
GLM 5.2
324 GB308.6 GB file
32K 323 GB · 128K 332 GB
GLM 5.3 Flash
not listed
IQ4_XS
GLM 5.2
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
GLM 5.3 Flash
175 GB156.8 GB file
32K 197 GB · 128K 270 GB
IQ4_NL
GLM 5.2
428 GB372.7 GB file
32K 427 GB · 128K 436 GB
GLM 5.3 Flash
not listed
Q4_K_S
GLM 5.2
428 GB436.4 GB file
32K 427 GB · 128K 436 GB
GLM 5.3 Flash
not listed
Q5_K_S
GLM 5.2
522 GB527.3 GB file
32K 521 GB · 128K 530 GB
GLM 5.3 Flash
not listed
BF16
GLM 5.2
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
GLM 5.3 Flash
644 GB641.6 GB file
32K 667 GB · 128K 740 GB
GLM 5.2
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.2-GGUF:Q4_K_MGLM 5.3 Flash
Ollama · Q4_K_M
ollama run hf.co/batiai/GLM-5.3-Flash-GGUF:Q4_K_M| Spec | GLM 5.2 | GLM 5.3 Flash |
|---|---|---|
| Publisher | Z.ai | Z.ai |
| Parameters | 753.3B | 321.3B |
| Active parameters | 42B per token | 18B per token |
| Architecture | GlmMoeDsaForCausalLM | Glm5NextForConditionalGeneration |
| Context | 1M tokens | 1M tokens |
| Modalities | Chat, Function-calling | Vision, Function-calling |
| License | MIT | MIT |
| Released | Jun 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, GLM 5.2 or GLM 5.3 Flash?
GLM 5.2 and GLM 5.3 Flash match in llmrun Score, with values of 122.9 versus 124.2; neither fits 24 GB. Choose GLM 5.2 for also does chat; choose GLM 5.3 Flash for stronger at reasoning and lighter on memory.
Which needs less VRAM, GLM 5.2 or GLM 5.3 Flash?
At Q4_K_M, GLM 5.2 requires 456.2 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 GLM 5.2 or GLM 5.3 Flash on a 16 GB GPU?
GLM 5.2 does not fit (smallest quant needs 208.9 GB); GLM 5.3 Flash does not fit (smallest quant needs 100.7 GB).
Which has a longer context window, GLM 5.2 or GLM 5.3 Flash?
GLM 5.2 supports 1,048,576 tokens and GLM 5.3 Flash supports 1,048,576 tokens.