Kimi K2.6 vs GLM 5.1
Kimi K2.6 leads llmrun Score 120.9 to 117.8 (ranges overlap); neither fits 24 GB.
Model A · Moonshot AI
Kimi K2.61026.9B · 33.3B active · 256K context · Other · Apr 2026
Model B · Z.ai
GLM 5.1753.9B · 42.4B active · 198K context · MIT · Apr 2026
Choose Kimi K2.6 if you want…
Higher llmrun Score
120.9 vs 117.8, ranges overlap
Ahead on the benchmarks
9 of 12 shared boards
Also does vision
GLM 5.1 doesn't list it
Choose GLM 5.1 if you want…
Lighter on memory
456.5 vs 620.0 GB at Q4_K_M
Also does chat
Kimi K2.6 doesn't list it
More permissive license
MIT vs Other
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 K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
12 GB
RTX 3060 12GB · 12 GB tier
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
24 GBreference
RTX 4090 · 24 GB tier
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
32 GB
RTX 5090 · 32 GB tier
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
48 GB
RTX A6000 · 48 GB tier
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 32 GB
Mac Mini M4 · Macs
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Kimi K2.6
Doesn't fit
smallest quant needs 283.8 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Kimi K2.6
GLM 5.1
Coding
Kimi K2.6
GLM 5.1
Agents
Kimi K2.6
GLM 5.1
Math
Kimi K2.6
GLM 5.1
Science
Kimi K2.6
GLM 5.1
Reasoning
Kimi K2.6
GLM 5.1
Kimi K2.6 · #12 of 100 open models · #10 of 96 that fit ≤640 GB
GLM 5.1 · #15 of 100 open models · #13 of 96 that fit ≤512 GB
Kimi K2.6
90.8%#8/98 open
IndependentEpoch AI · Apr 2026
GLM 5.1
89.9%#10/98 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
96.1%#6/86 open
IndependentEpoch AI · Apr 2026
GLM 5.1
93.3%#10/86 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
57.2%#8/17 open
IndependentEpoch AI · Apr 2026
GLM 5.1
36.8%#13/17 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
53.5%#4/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
44.8%#25/66 open
Lab-reportedEpoch AI · Apr 2026
Kimi K2.6
34.9%#10/17 open
IndependentEpoch AI · Apr 2026
GLM 5.1
34.0%#13/17 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
55.9%#7/46 open
IndependentEpoch AI · Apr 2026
GLM 5.1
57.1%#6/46 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
1092.7#7/43 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
887.1#15/43 open
Lab-reportedEpoch AI · Apr 2026
Kimi K2.6
20.0%#10/14 open
IndependentEpoch AI · Apr 2026
GLM 5.1
20.0%#11/14 open
IndependentEpoch AI · Apr 2026
Kimi K2.6
8.0%#13/66 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
4.6%#17/66 open
Lab-reportedEpoch AI · Apr 2026
Kimi K2.6
18.4%#1/3 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
18.1%#2/3 open
Lab-reportedEpoch AI · Apr 2026
15 more boards (other shared and single-model boards)
Kimi K2.6
16.0%#15/26 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
22.2%#10/26 open
Lab-reportedEpoch AI · Apr 2026
Kimi K2.6
6204.6#3/17 open
Lab-reportedEpoch AI · Apr 2026
GLM 5.1
5634.4#4/17 open
Lab-reportedEpoch AI · Apr 2026
Kimi K2.6
1460.8#10/187 open
ArenaLMArena · Oct 2026
GLM 5.1
1465.2#8/187 open
ArenaLMArena · Oct 2026
Kimi K2.6
1509.6#14/52 open
ArenaLMArena · Oct 2026
GLM 5.1
1508.5#15/52 open
ArenaLMArena · Oct 2026
Only Kimi K2.6 (9)
- LiveBench Coding78.6
- LiveBench Reasoning79.4
- LiveBench Math84.3
- FrontierMath Tier 425.6%
- DTBench90.9%
- EBR-bench2.4%
- Furniture Assembly21.7%
- LMCA37.3%
- Mystery Game Puzzles18.0%
Only GLM 5.1 (2)
- SimpleBench55.1%
- APEX-Agents40.9%
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
Kimi K2.6
440 GB358.2 GB file
32K 439 GB · 128K 446 GB
GLM 5.1
325 GB265.8 GB file
32K 324 GB · 128K 332 GB
Q3_K_S
Kimi K2.6
453 GB444.4 GB file
32K 452 GB · 128K 459 GB
GLM 5.1
334 GB313.5 GB file
32K 333 GB · 128K 342 GB
Q3_K_M
Kimi K2.6
504 GB466.9 GB file
32K 503 GB · 128K 510 GB
GLM 5.1
372 GB338.4 GB file
32K 371 GB · 128K 380 GB
Q4_0
Kimi K2.6
517 GB583.7 GB file
32K 516 GB · 128K 523 GB
GLM 5.1
381 GB427.6 GB file
32K 380 GB · 128K 389 GB
Q4_K_M
Kimi K2.6
620 GB~616.1 GB file
32K 619 GB · 128K 626 GB
GLM 5.1
457 GB464.5 GB file
32K 456 GB · 128K 464 GB
Q5_K_M
Kimi K2.6
736 GB~731.6 GB file
32K 734 GB · 128K 741 GB
GLM 5.1
541 GB558.5 GB file
32K 540 GB · 128K 549 GB
Q6_K
Kimi K2.6
851 GB~847.2 GB file
32K 850 GB · 128K 857 GB
GLM 5.1
626 GB621.3 GB file
32K 625 GB · 128K 634 GB
Q8_0
Kimi K2.6
1031 GB~1026.9 GB file
32K 1029 GB · 128K 1036 GB
GLM 5.1
758 GB801.3 GB file
32K 757 GB · 128K 766 GB
16 more quants
IQ2_XXS
Kimi K2.6
286 GB271.5 GB file
32K 285 GB · 128K 292 GB
GLM 5.1
212 GB220.6 GB file
32K 211 GB · 128K 219 GB
IQ2_XS
Kimi K2.6
312 GB303.2 GB file
32K 311 GB · 128K 318 GB
GLM 5.1
230 GB226.6 GB file
32K 229 GB · 128K 238 GB
IQ2_S
Kimi K2.6
325 GB308.8 GB file
32K 324 GB · 128K 330 GB
GLM 5.1
240 GB231.4 GB file
32K 239 GB · 128K 248 GB
IQ2_M
Kimi K2.6
350 GB341.7 GB file
32K 349 GB · 128K 356 GB
GLM 5.1
259 GB236.2 GB file
32K 258 GB · 128K 267 GB
IQ3_XXS
Kimi K2.6
402 GB426.6 GB file
32K 401 GB · 128K 407 GB
GLM 5.1
296 GB268.3 GB file
32K 295 GB · 128K 304 GB
IQ3_XS
Kimi K2.6
427 GB466.4 GB file
32K 426 GB · 128K 433 GB
GLM 5.1
315 GB343.9 GB file
32K 314 GB · 128K 323 GB
IQ3_S
Kimi K2.6
440 GB405.3 GB file
32K 439 GB · 128K 446 GB
GLM 5.1
325 GB279.6 GB file
32K 324 GB · 128K 332 GB
IQ3_M
Kimi K2.6
466 GB488.1 GB file
32K 465 GB · 128K 472 GB
GLM 5.1
343 GB360.3 GB file
32K 342 GB · 128K 351 GB
Q3_K_L
Kimi K2.6
530 GB487.5 GB file
32K 529 GB · 128K 536 GB
GLM 5.1
391 GB358.9 GB file
32K 390 GB · 128K 398 GB
IQ4_XS
Kimi K2.6
556 GB546.2 GB file
32K 555 GB · 128K 561 GB
GLM 5.1
409 GB361.3 GB file
32K 408 GB · 128K 417 GB
IQ4_NL
Kimi K2.6
not listed
GLM 5.1
428 GB368.9 GB file
32K 427 GB · 128K 436 GB
Q4_1
Kimi K2.6
not listed
GLM 5.1
428 GB472.7 GB file
32K 427 GB · 128K 436 GB
Q4_K_S
Kimi K2.6
not listed
GLM 5.1
428 GB433.9 GB file
32K 427 GB · 128K 436 GB
Q4_K_L
Kimi K2.6
not listed
GLM 5.1
466 GB460.4 GB file
32K 465 GB · 128K 474 GB
Q5_K_S
Kimi K2.6
not listed
GLM 5.1
523 GB525.9 GB file
32K 522 GB · 128K 530 GB
BF16
Kimi K2.6
2058 GB2053.2 GB file
32K 2056 GB · 128K 2063 GB
GLM 5.1
1512 GB1508.0 GB file
32K 1511 GB · 128K 1520 GB
Kimi K2.6
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2.6-GGUFGLM 5.1
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.1-GGUF:Q4_K_M| Spec | Kimi K2.6 | GLM 5.1 |
|---|---|---|
| Publisher | Moonshot AI | Z.ai |
| Parameters | 1026.9B | 753.9B |
| Active parameters | 33B per token | 42B per token |
| Architecture | KimiK25ForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | 256K tokens | 198K tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | Other | MIT |
| Released | Apr 2026 | Apr 2026 |
Frequently Asked Questions
Which is better, Kimi K2.6 or GLM 5.1?
Kimi K2.6 leads llmrun Score 120.9 to 117.8 (ranges overlap); neither fits 24 GB. Choose Kimi K2.6 for higher llmrun Score and ahead on the benchmarks; choose GLM 5.1 for lighter on memory and also does chat.
Which needs less VRAM, Kimi K2.6 or GLM 5.1?
At Q4_K_M, Kimi K2.6 requires 620.0 GB while GLM 5.1 needs 456.5 GB, making GLM 5.1 the easier model to run on your local setup.
Can I run Kimi K2.6 or GLM 5.1 on a 16 GB GPU?
Kimi K2.6 does not fit (smallest quant needs 283.8 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).
Which has a longer context window, Kimi K2.6 or GLM 5.1?
Kimi K2.6 supports 262,144 tokens and GLM 5.1 supports 202,752 tokens.