GLM 5 vs GLM 5.3 Flash
GLM 5.3 Flash leads llmrun Score 124.1 to 111.8; neither fits 24 GB.
Run GLM 5.3 Flash in the cloud →
Model A · Z.ai
GLM 5753.9B · 42.4B active · 198K context · MIT · Feb 2026
Model B · Z.ai
GLM 5.3 Flash321.3B · 18.3B active · 1M context · MIT · Aug 2026
Choose GLM 5 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 111.8
Stronger at reasoning
127.4 vs 109.7
Stronger at agents
127.4 vs 117.9
Ahead on the benchmarks
4 of 5 shared boards
Lighter on memory
194.6 vs 456.5 GB at Q4_K_M
Longer context window
1M vs 198K tokens
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
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
GLM 5
Doesn't fit
smallest quant needs 209.1 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
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
24 GBreference
RTX 4090 · 24 GB tier
GLM 5
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
32 GB
RTX 5090 · 32 GB tier
GLM 5
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
48 GB
RTX A6000 · 48 GB tier
GLM 5
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 32 GB
Mac Mini M4 · Macs
GLM 5
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
GLM 5
Doesn't fit
smallest quant needs 209.1 GB
GLM 5.3 Flash
Doesn't fit
smallest quant needs 100.7 GB
Mac 128 GB
Mac Studio M4 Max · Macs
GLM 5
Doesn't fit
smallest quant needs 209.1 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
GLM 5.3 Flash
Coding
GLM 5
GLM 5.3 Flash
Agents
GLM 5
GLM 5.3 Flash
Math
GLM 5
no data
GLM 5.3 Flash
Science
GLM 5
no data
GLM 5.3 Flash
Reasoning
GLM 5
GLM 5.3 Flash
GLM 5 · #29 of 106 open models · #25 of 102 that fit ≤512 GB
GLM 5.3 Flash · #12 of 106 open models · #6 of 89 that fit ≤256 GB
GLM 5
87.8%#18/100 open
IndependentEpoch AI · Feb 2026
GLM 5.3 Flash
90.1%#11/100 open
IndependentEpoch AI · Aug 2026
GLM 5
80.0%#27/88 open
IndependentEpoch AI · Feb 2026
GLM 5.3 Flash
93.9%#11/88 open
IndependentEpoch AI · Aug 2026
GLM 5
4.9%#15/22 open
IndependentEpoch AI · Feb 2026
GLM 5.3 Flash
65.8%#3/22 open
IndependentEpoch AI · Aug 2026
GLM 5
44.7%#16/22 open
IndependentEpoch AI · Feb 2026
GLM 5.3 Flash
91.0%#4/22 open
IndependentEpoch AI · Aug 2026
GLM 5
765.6#23/48 open
Lab-reportedEpoch AI · Feb 2026
GLM 5.3 Flash
303.6#44/48 open
Lab-reportedEpoch AI · Aug 2026
35 more boards (other shared and single-model boards)
GLM 5
1457.2#12/188 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1476.5#4/188 open
ArenaLMArena · Oct 2026
GLM 5
1435.6#26/55 open
ArenaLMArena · Oct 2026
GLM 5.3 Flash
1606.6#9/55 open
ArenaLMArena · Oct 2026
Only GLM 5 (9)
- SWE-bench Verified72.8%
- Terminal-Bench52.4%
- MMLU-Pro86.0%
- SWE-bench Multilingual69.7%
- SimpleBench53.2%
- WeirdML48.2%
- CL-bench18.7%
- ForecastBench63.7
- Vending-Bench 24432.1
Only GLM 5.3 Flash (24)
- LiveBench Coding79.0
- LiveBench Reasoning77.6
- FrontierMath55.8%
- LiveBench Math81.2
- SciCode51.6%
- FrontierMath Tier 417.1%
- DeepSWE63.4%
- FrontierCode31.8%
- APEX-Agents52.8%
- Chess Puzzles21.0%
- CritPt15.4%
- LiveBench 2026 Reasoning77.6
- Mystery Game Puzzles8.0%
- GDP.pdf14.0%
- LiveBench 2026 Browser84.0
- LiveBench 2026 Data Analysis76.4
- CursorBench36.8%
- FrontierSWE18.1%
- LiveBench 2026 Coding80.6
- LiveBench 2026 Long-Horizon28.4
- Surface Evolver Bench52.5%
- LiveBench 2026 Design77.2
- ProofBench21.0%
- LiveBench 2026 Research70.1
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
GLM 5
325 GB276.0 GB file
32K 324 GB · 128K 332 GB
GLM 5.3 Flash
138 GB114.2 GB file
32K 161 GB · 128K 234 GB
Q3_K_S
GLM 5
334 GB326.3 GB file
32K 333 GB · 128K 342 GB
GLM 5.3 Flash
not listed
Q3_K_M
GLM 5
372 GB360.3 GB file
32K 371 GB · 128K 380 GB
GLM 5.3 Flash
158 GB149.1 GB file
32K 181 GB · 128K 254 GB
Q4_0
GLM 5
381 GB427.1 GB file
32K 380 GB · 128K 389 GB
GLM 5.3 Flash
not listed
Q4_K_M
GLM 5
457 GB455.9 GB file
32K 456 GB · 128K 464 GB
GLM 5.3 Flash
195 GB188.7 GB file
32K 217 GB · 128K 290 GB
Q5_K_M
GLM 5
541 GB535.2 GB file
32K 540 GB · 128K 549 GB
GLM 5.3 Flash
231 GB244.7 GB file
32K 253 GB · 128K 326 GB
Q6_K
GLM 5
626 GB619.4 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
758 GB801.3 GB file
32K 757 GB · 128K 766 GB
GLM 5.3 Flash
323 GB341.0 GB file
32K 346 GB · 128K 418 GB
13 more quants
IQ2_XXS
GLM 5
212 GB241.1 GB file
32K 211 GB · 128K 219 GB
GLM 5.3 Flash
90.2 GB101.8 GB file
32K 113 GB · 128K 185 GB
IQ2_XS
GLM 5
not listed
GLM 5.3 Flash
98.2 GB92.1 GB file
32K 121 GB · 128K 193 GB
IQ2_S
GLM 5
not listed
GLM 5.3 Flash
102 GB113.6 GB file
32K 125 GB · 128K 197 GB
IQ2_M
GLM 5
259 GB254.8 GB file
32K 258 GB · 128K 267 GB
GLM 5.3 Flash
not listed
IQ3_XXS
GLM 5
296 GB304.5 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
not listed
GLM 5.3 Flash
138 GB149.6 GB file
32K 161 GB · 128K 234 GB
IQ3_M
GLM 5
not listed
GLM 5.3 Flash
146 GB150.7 GB file
32K 169 GB · 128K 242 GB
IQ4_XS
GLM 5
409 GB402.9 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
428 GB425.9 GB file
32K 427 GB · 128K 436 GB
GLM 5.3 Flash
not listed
Q4_1
GLM 5
428 GB472.7 GB file
32K 427 GB · 128K 436 GB
GLM 5.3 Flash
not listed
Q4_K_S
GLM 5
428 GB428.4 GB file
32K 427 GB · 128K 436 GB
GLM 5.3 Flash
not listed
Q5_K_S
GLM 5
523 GB519.7 GB file
32K 522 GB · 128K 530 GB
GLM 5.3 Flash
not listed
BF16
GLM 5
1512 GB1508.0 GB file
32K 1511 GB · 128K 1520 GB
GLM 5.3 Flash
644 GB641.6 GB file
32K 667 GB · 128K 740 GB
GLM 5
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5-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 | GLM 5.3 Flash |
|---|---|---|
| Publisher | Z.ai | Z.ai |
| Parameters | 753.9B | 321.3B |
| Active parameters | 42B per token | 18B per token |
| Architecture | GlmMoeDsaForCausalLM | Glm5NextForConditionalGeneration |
| Context | 198K tokens | 1M tokens |
| Modalities | Chat, Function-calling | Vision, Function-calling |
| License | MIT | MIT |
| Released | Feb 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, GLM 5 or GLM 5.3 Flash?
GLM 5.3 Flash leads llmrun Score 124.1 to 111.8; neither fits 24 GB. Choose GLM 5 for also does chat; choose GLM 5.3 Flash for higher llmrun Score and stronger at reasoning.
Which needs less VRAM, GLM 5 or GLM 5.3 Flash?
At Q4_K_M, GLM 5 requires 456.5 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 or GLM 5.3 Flash on a 16 GB GPU?
GLM 5 does not fit (smallest quant needs 209.1 GB); GLM 5.3 Flash does not fit (smallest quant needs 100.7 GB).
Which has a longer context window, GLM 5 or GLM 5.3 Flash?
GLM 5 supports 202,752 tokens and GLM 5.3 Flash supports 1,048,576 tokens.