Step 5 Preview vs GLM 5.3
GLM 5.3 leads llmrun Score 130.1 to 128.0 (ranges overlap); neither fits 24 GB.
Model A · StepFun
Step 5 Preview604.3B · 27B active · 1M context · Other · Sep 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose GLM 5.3 if you want…
Higher llmrun Score
130.1 vs 128.0, ranges overlap
Step 5 Preview: no clear edge over GLM 5.3 in the data we have.
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
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
12 GB
RTX 3060 12GB · 12 GB tier
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
24 GBreference
RTX 4090 · 24 GB tier
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
32 GB
RTX 5090 · 32 GB tier
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
48 GB
RTX A6000 · 48 GB tier
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 32 GB
Mac Mini M4 · Macs
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Step 5 Preview
Doesn't fit
smallest quant needs 191.4 GB
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).
Overall
Step 5 Preview
GLM 5.3
Coding
Step 5 Preview
no data
GLM 5.3
Agents
Step 5 Preview
no data
GLM 5.3
Math
Step 5 Preview
no data
GLM 5.3
Science
Step 5 Preview
GLM 5.3
Reasoning
Step 5 Preview
no data
GLM 5.3
Step 5 Preview · #8 of 101 open models · #6 of 98 that fit ≤512 GB
GLM 5.3 · #5 of 101 open models · #4 of 98 that fit ≤512 GB
Step 5 Preview
58.9%#4/68 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
59.0%#3/68 open
Lab-reportedEpoch AI · Aug 2026
Step 5 Preview
20.9%#3/68 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
19.1%#5/68 open
Lab-reportedEpoch AI · Aug 2026
Step 5 Preview
42.0%#9/27 open
Lab-reportedEpoch AI · Sep 2026
GLM 5.3
49.0%#8/27 open
Lab-reportedEpoch AI · Aug 2026
29 more boards (other shared and single-model boards)
Only GLM 5.3 (29)
- GPQA Diamond90.9%
- LMArena Text1480.7
- LiveBench Coding79.0
- LiveBench Reasoning85.8
- AIME 2024/202591.1%
- FrontierMath68.8%
- LMArena WebDev1622.8
- LiveBench Math87.9
- SimpleQA41.0%
- FrontierMath Tier 429.3%
- WeirdML75.4%
- DeepSWE69.0%
- FrontierCode40.1%
- APEX-Agents56.6%
- Chess Puzzles37.0%
- DTBench87.7%
- LiveBench 2026 Reasoning85.8
- LMCA55.5%
- Mystery Game Puzzles33.0%
- Vending-Bench 28163.6
- LiveBench 2026 Browser0.0
- LiveBench 2026 Data Analysis70.2
- ALE-Bench1317.4
- CursorBench42.6%
- FrontierSWE30.2%
- LiveBench 2026 Coding82.8
- LiveBench 2026 Long-Horizon35.9
- LiveBench 2026 Design77.3
- LiveBench 2026 Research73.2
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
Step 5 Preview
283 GB182.5 GB file
32K 301 GB · 128K 360 GB
GLM 5.3
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
Q3_K_M
Step 5 Preview
324 GB~294.6 GB file
32K 343 GB · 128K 402 GB
GLM 5.3
371 GB~367.3 GB file
32K 370 GB · 128K 379 GB
Q4_K_M
Step 5 Preview
399 GB~362.6 GB file
32K 417 GB · 128K 476 GB
GLM 5.3
456 GB~452.0 GB file
32K 455 GB · 128K 464 GB
Q5_K_M
Step 5 Preview
474 GB~430.6 GB file
32K 492 GB · 128K 551 GB
GLM 5.3
541 GB~536.8 GB file
32K 540 GB · 128K 549 GB
Q6_K
Step 5 Preview
548 GB~498.6 GB file
32K 567 GB · 128K 626 GB
GLM 5.3
626 GB~621.5 GB file
32K 625 GB · 128K 634 GB
Q8_0
Step 5 Preview
665 GB~604.3 GB file
32K 683 GB · 128K 742 GB
GLM 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
6 more quants
IQ2_XXS
Step 5 Preview
183 GB~166.2 GB file
32K 201 GB · 128K 260 GB
GLM 5.3
not listed
IQ2_M
Step 5 Preview
not listed
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
Step 5 Preview
not listed
GLM 5.3
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ3_M
Step 5 Preview
299 GB271.6 GB file
32K 318 GB · 128K 377 GB
GLM 5.3
not listed
IQ4_XS
Step 5 Preview
not listed
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
BF16
Step 5 Preview
1330 GB~1208.7 GB file
32K 1348 GB · 128K 1407 GB
GLM 5.3
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
Step 5 Preview
Ollama · Q4_K_M
ollama run hf.co/smalinin/Step-5-Preview-GGUFGLM 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | Step 5 Preview | GLM 5.3 |
|---|---|---|
| Publisher | StepFun | Z.ai |
| Parameters | 604.3B | 753.3B |
| Active parameters | 27B per token | 42B per token |
| Architecture | Step5ForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Chat, Function-calling | Chat, Function-calling |
| License | Other | Other |
| Released | Sep 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, Step 5 Preview or GLM 5.3?
GLM 5.3 leads llmrun Score 130.1 to 128.0 (ranges overlap); neither fits 24 GB. Choose GLM 5.3 for higher llmrun Score.
Which needs less VRAM, Step 5 Preview or GLM 5.3?
At Q4_K_M, Step 5 Preview requires 398.9 GB while GLM 5.3 needs 456.2 GB, making Step 5 Preview the easier model to run on your local setup.
Can I run Step 5 Preview or GLM 5.3 on a 16 GB GPU?
Step 5 Preview does not fit (smallest quant needs 191.4 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).
Which has a longer context window, Step 5 Preview or GLM 5.3?
Step 5 Preview supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.