Kimi K2.5 vs GLM 5.3
GLM 5.3 leads llmrun Score 130.1 to 113.9; neither fits 24 GB.
Model A · Moonshot AI
Kimi K2.51026.9B · 33.3B active · 256K context · Other · Jan 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose Kimi K2.5 if you want…
Also does vision
GLM 5.3 doesn't list it
Choose GLM 5.3 if you want…
Higher llmrun Score
130.1 vs 113.9
Stronger at agents
133.5 vs 110.4
Stronger at coding
129.9 vs 110.4
Ahead on the benchmarks
7 of 8 shared boards
Lighter on memory
456.2 vs 620.0 GB at Q4_K_M
Longer context window
1M vs 256K 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
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
12 GB
RTX 3060 12GB · 12 GB tier
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
24 GBreference
RTX 4090 · 24 GB tier
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
32 GB
RTX 5090 · 32 GB tier
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
48 GB
RTX A6000 · 48 GB tier
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 32 GB
Mac Mini M4 · Macs
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Kimi K2.5
Doesn't fit
smallest quant needs 283.8 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
Kimi K2.5
GLM 5.3
Coding
Kimi K2.5
GLM 5.3
Agents
Kimi K2.5
GLM 5.3
Math
Kimi K2.5
no data
GLM 5.3
Science
Kimi K2.5
GLM 5.3
Reasoning
Kimi K2.5
GLM 5.3
Kimi K2.5 · #25 of 106 open models · #21 of 102 that fit ≤640 GB
GLM 5.3 · #6 of 106 open models · #4 of 102 that fit ≤512 GB
Kimi K2.5
87.6%#19/100 open
IndependentEpoch AI · Jan 2026
GLM 5.3
90.9%#8/100 open
IndependentEpoch AI · Aug 2026
Kimi K2.5
92.2%#13/88 open
IndependentEpoch AI · Jan 2026
GLM 5.3
91.1%#15/88 open
IndependentEpoch AI · Aug 2026
Kimi K2.5
49.0%#20/72 open
Lab-reportedEpoch AI · Jan 2026
GLM 5.3
59.0%#4/72 open
Lab-reportedEpoch AI · Aug 2026
Kimi K2.5
34.3%#12/19 open
IndependentEpoch AI · Jan 2026
GLM 5.3
41.0%#7/19 open
IndependentEpoch AI · Aug 2026
Kimi K2.5
45.6%#15/47 open
IndependentEpoch AI · Jan 2026
GLM 5.3
75.4%#2/47 open
IndependentEpoch AI · Aug 2026
Kimi K2.5
821.6#21/48 open
Lab-reportedEpoch AI · Jan 2026
GLM 5.3
1317.4#6/48 open
Lab-reportedEpoch AI · Aug 2026
Kimi K2.5
3.1%#27/84 open
Lab-reportedEpoch AI · Jan 2026
GLM 5.3
19.1%#7/84 open
Lab-reportedEpoch AI · Aug 2026
Kimi K2.5
1198.5#11/17 open
Lab-reportedEpoch AI · Jan 2026
GLM 5.3
8163.6#2/17 open
Lab-reportedEpoch AI · Aug 2026
35 more boards (other shared and single-model boards)
Kimi K2.5
1449.7#15/188 open
ArenaLMArena · Oct 2026
GLM 5.3
1480.6#2/188 open
ArenaLMArena · Oct 2026
Kimi K2.5
1436.2#24/55 open
ArenaLMArena · Oct 2026
GLM 5.3
1622.8#7/55 open
ArenaLMArena · Oct 2026
Only Kimi K2.5 (11)
- SWE-bench Verified70.8%
- Terminal-Bench43.2%
- Humanity's Last Exam24.4%
- ARC-AGI-211.8%
- MMLU-Pro87.1%
- SWE-bench Multilingual67.3%
- ARC-AGI65.3%
- SimpleBench46.8%
- CL-bench19.3%
- CL-bench Life13.2%
- Fiction.LiveBench86.1%
Only GLM 5.3 (22)
- LiveBench Coding79.0
- LiveBench Reasoning85.8
- FrontierMath68.8%
- LiveBench Math87.9
- FrontierMath Tier 429.3%
- DeepSWE69.0%
- FrontierCode40.1%
- APEX-Agents56.6%
- Chess Puzzles37.0%
- DTBench87.7%
- LiveBench 2026 Reasoning85.8
- LMCA55.5%
- Mystery Game Puzzles33.0%
- LiveBench 2026 Browser0.0
- LiveBench 2026 Data Analysis70.2
- CursorBench42.6%
- FrontierSWE30.2%
- LiveBench 2026 Coding82.8
- LiveBench 2026 Long-Horizon35.9
- LiveBench 2026 Design77.3
- ProofBench49.0%
- 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
Kimi K2.5
440 GB373.8 GB file
32K 439 GB · 128K 446 GB
GLM 5.3
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
Q3_K_S
Kimi K2.5
453 GB443.2 GB file
32K 452 GB · 128K 459 GB
GLM 5.3
not listed
Q3_K_M
Kimi K2.5
504 GB489.8 GB file
32K 503 GB · 128K 510 GB
GLM 5.3
371 GB~367.3 GB file
32K 370 GB · 128K 379 GB
Q4_0
Kimi K2.5
517 GB581.2 GB file
32K 516 GB · 128K 523 GB
GLM 5.3
not listed
Q4_K_M
Kimi K2.5
620 GB621.2 GB file
32K 619 GB · 128K 626 GB
GLM 5.3
456 GB~452.0 GB file
32K 455 GB · 128K 464 GB
Q5_K_M
Kimi K2.5
736 GB728.7 GB file
32K 734 GB · 128K 741 GB
GLM 5.3
541 GB~536.8 GB file
32K 540 GB · 128K 549 GB
Q6_K
Kimi K2.5
851 GB842.9 GB file
32K 850 GB · 128K 857 GB
GLM 5.3
626 GB~621.5 GB file
32K 625 GB · 128K 634 GB
Q8_0
Kimi K2.5
1031 GB1091.1 GB file
32K 1029 GB · 128K 1036 GB
GLM 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
16 more quants
IQ2_XXS
Kimi K2.5
286 GB326.7 GB file
32K 285 GB · 128K 292 GB
GLM 5.3
not listed
IQ2_XS
Kimi K2.5
312 GB283.1 GB file
32K 311 GB · 128K 318 GB
GLM 5.3
not listed
IQ2_S
Kimi K2.5
325 GB283.8 GB file
32K 324 GB · 128K 330 GB
GLM 5.3
not listed
IQ2_M
Kimi K2.5
350 GB345.2 GB file
32K 349 GB · 128K 356 GB
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
Kimi K2.5
402 GB414.8 GB file
32K 401 GB · 128K 407 GB
GLM 5.3
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ3_XS
Kimi K2.5
427 GB420.1 GB file
32K 426 GB · 128K 433 GB
GLM 5.3
not listed
IQ3_S
Kimi K2.5
440 GB405.3 GB file
32K 439 GB · 128K 446 GB
GLM 5.3
not listed
IQ3_M
Kimi K2.5
466 GB466.9 GB file
32K 465 GB · 128K 472 GB
GLM 5.3
not listed
Q3_K_L
Kimi K2.5
530 GB487.5 GB file
32K 529 GB · 128K 536 GB
GLM 5.3
not listed
IQ4_XS
Kimi K2.5
556 GB547.2 GB file
32K 555 GB · 128K 561 GB
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
IQ4_NL
Kimi K2.5
582 GB579.1 GB file
32K 580 GB · 128K 587 GB
GLM 5.3
not listed
Q4_1
Kimi K2.5
582 GB642.9 GB file
32K 580 GB · 128K 587 GB
GLM 5.3
not listed
Q4_K_S
Kimi K2.5
582 GB583.3 GB file
32K 580 GB · 128K 587 GB
GLM 5.3
not listed
Q4_K_L
Kimi K2.5
633 GB581.2 GB file
32K 632 GB · 128K 638 GB
GLM 5.3
not listed
Q5_K_S
Kimi K2.5
710 GB707.0 GB file
32K 709 GB · 128K 715 GB
GLM 5.3
not listed
BF16
Kimi K2.5
2058 GB2053.2 GB file
32K 2056 GB · 128K 2063 GB
GLM 5.3
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
Kimi K2.5
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2.5-GGUF:Q4_K_MGLM 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | Kimi K2.5 | GLM 5.3 |
|---|---|---|
| Publisher | Moonshot AI | Z.ai |
| Parameters | 1026.9B | 753.3B |
| Active parameters | 33B per token | 42B per token |
| Architecture | KimiK25ForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | 256K tokens | 1M tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | Other | Other |
| Released | Jan 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, Kimi K2.5 or GLM 5.3?
GLM 5.3 leads llmrun Score 130.1 to 113.9; neither fits 24 GB. Choose Kimi K2.5 for also does vision; choose GLM 5.3 for higher llmrun Score and stronger at agents.
Which needs less VRAM, Kimi K2.5 or GLM 5.3?
At Q4_K_M, Kimi K2.5 requires 620.0 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.
Can I run Kimi K2.5 or GLM 5.3 on a 16 GB GPU?
Kimi K2.5 does not fit (smallest quant needs 283.8 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).
Which has a longer context window, Kimi K2.5 or GLM 5.3?
Kimi K2.5 supports 262,144 tokens and GLM 5.3 supports 1,048,576 tokens.