Inkling vs GLM 5.1
Inkling and GLM 5.1 match in llmrun Score, with values of 116.0 versus 117.8; neither fits 24 GB.
Model A · Thinking Machines
Inkling952.4B · 18.1B active · Apache 2.0 · Jul 2026
Model B · Z.ai
GLM 5.1753.9B · 42.4B active · 198K context · MIT · Apr 2026
Choose Inkling if you want…
Also does vision
GLM 5.1 doesn't list it
Newer release
Jul 2026 vs Apr 2026
Choose GLM 5.1 if you want…
Stronger at agents
122.7 vs 111.4
Lighter on memory
456.5 vs 572.1 GB at Q4_K_M
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
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
12 GB
RTX 3060 12GB · 12 GB tier
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
24 GBreference
RTX 4090 · 24 GB tier
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
32 GB
RTX 5090 · 32 GB tier
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
48 GB
RTX A6000 · 48 GB tier
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 32 GB
Mac Mini M4 · Macs
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Inkling
Doesn't fit
smallest quant needs 408.4 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Inkling
Doesn't fit
smallest quant needs 408.4 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
Inkling
GLM 5.1
Coding
Inkling
GLM 5.1
Agents
Inkling
GLM 5.1
Math
Inkling
GLM 5.1
Science
Inkling
GLM 5.1
Reasoning
Inkling
GLM 5.1
Inkling · #18 of 100 open models · #15 of 96 that fit ≤640 GB
GLM 5.1 · #15 of 100 open models · #13 of 96 that fit ≤512 GB
Inkling
88.3%#14/98 open
IndependentEpoch AI · Jul 2026
GLM 5.1
89.9%#10/98 open
IndependentEpoch AI · Apr 2026
Inkling
88.9%#17/86 open
IndependentEpoch AI · Jul 2026
GLM 5.1
93.3%#10/86 open
IndependentEpoch AI · Apr 2026
Inkling
33.3%#15/17 open
IndependentEpoch AI · Jul 2026
GLM 5.1
36.8%#13/17 open
IndependentEpoch AI · Apr 2026
Inkling
47.0%#18/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.1
44.8%#25/66 open
Lab-reportedEpoch AI · Apr 2026
Inkling
40.3%#8/17 open
IndependentEpoch AI · Jul 2026
GLM 5.1
34.0%#13/17 open
IndependentEpoch AI · Apr 2026
Inkling
50.0%#8/25 open
IndependentEpoch AI · Jul 2026
GLM 5.1
55.1%#5/25 open
IndependentEpoch AI · Apr 2026
Inkling
32.3%#37/46 open
IndependentEpoch AI · Jul 2026
GLM 5.1
57.1%#6/46 open
IndependentEpoch AI · Apr 2026
Inkling
946.0#11/43 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.1
887.1#15/43 open
Lab-reportedEpoch AI · Apr 2026
Inkling
33.8%#12/16 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.1
40.9%#8/16 open
Lab-reportedEpoch AI · Apr 2026
Inkling
21.0%#7/14 open
IndependentEpoch AI · Jul 2026
GLM 5.1
20.0%#11/14 open
IndependentEpoch AI · Apr 2026
23 more boards (other shared and single-model boards)
Inkling
5.4%#16/66 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.1
4.6%#17/66 open
Lab-reportedEpoch AI · Apr 2026
Inkling
0.0%#26/26 open
Lab-reportedEpoch AI · Jul 2026
GLM 5.1
22.2%#10/26 open
Lab-reportedEpoch AI · Apr 2026
Inkling
1440.9#20/187 open
ArenaLMArena · Oct 2026
GLM 5.1
1465.2#8/187 open
ArenaLMArena · Oct 2026
Inkling
1413.7#26/52 open
ArenaLMArena · Oct 2026
GLM 5.1
1508.5#15/52 open
ArenaLMArena · Oct 2026
Only Inkling (17)
- LiveBench Coding71.0
- LiveBench Reasoning78.3
- LiveBench Math88.4
- ARC-AGI-236.5%
- ARC-AGI79.5%
- FrontierMath Tier 44.9%
- FrontierCode14.0%
- DTBench87.5%
- LiveBench 2026 Reasoning78.3
- LMCA37.6%
- LiveBench 2026 Browser16.0
- LiveBench 2026 Data Analysis72.8
- FrontierSWE4.1%
- LiveBench 2026 Coding64.0
- LiveBench 2026 Long-Horizon14.1
- LiveBench 2026 Design58.3
- LiveBench 2026 Research59.9
Only GLM 5.1 (2)
- Vending-Bench 25634.4
- ExploitBench18.1%
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
Inkling
405 GB~404.8 GB file
32K 412 GB · 128K 432 GB
GLM 5.1
325 GB265.8 GB file
32K 324 GB · 128K 332 GB
Q3_K_S
Inkling
not listed
GLM 5.1
334 GB313.5 GB file
32K 333 GB · 128K 342 GB
Q3_K_M
Inkling
465 GB~464.3 GB file
32K 471 GB · 128K 491 GB
GLM 5.1
372 GB338.4 GB file
32K 371 GB · 128K 380 GB
Q4_0
Inkling
not listed
GLM 5.1
381 GB427.6 GB file
32K 380 GB · 128K 389 GB
Q4_K_M
Inkling
572 GB~571.4 GB file
32K 578 GB · 128K 598 GB
GLM 5.1
457 GB464.5 GB file
32K 456 GB · 128K 464 GB
Q5_K_M
Inkling
679 GB~678.6 GB file
32K 686 GB · 128K 705 GB
GLM 5.1
541 GB558.5 GB file
32K 540 GB · 128K 549 GB
Q6_K
Inkling
786 GB~785.7 GB file
32K 793 GB · 128K 813 GB
GLM 5.1
626 GB621.3 GB file
32K 625 GB · 128K 634 GB
Q8_0
Inkling
953 GB856.8 GB file
32K 959 GB · 128K 979 GB
GLM 5.1
758 GB801.3 GB file
32K 757 GB · 128K 766 GB
16 more quants
IQ2_XXS
Inkling
not listed
GLM 5.1
212 GB220.6 GB file
32K 211 GB · 128K 219 GB
IQ2_XS
Inkling
not listed
GLM 5.1
230 GB226.6 GB file
32K 229 GB · 128K 238 GB
IQ2_S
Inkling
not listed
GLM 5.1
240 GB231.4 GB file
32K 239 GB · 128K 248 GB
IQ2_M
Inkling
not listed
GLM 5.1
259 GB236.2 GB file
32K 258 GB · 128K 267 GB
IQ3_XXS
Inkling
not listed
GLM 5.1
296 GB268.3 GB file
32K 295 GB · 128K 304 GB
IQ3_XS
Inkling
not listed
GLM 5.1
315 GB343.9 GB file
32K 314 GB · 128K 323 GB
IQ3_S
Inkling
not listed
GLM 5.1
325 GB279.6 GB file
32K 324 GB · 128K 332 GB
IQ3_M
Inkling
not listed
GLM 5.1
343 GB360.3 GB file
32K 342 GB · 128K 351 GB
Q3_K_L
Inkling
not listed
GLM 5.1
391 GB358.9 GB file
32K 390 GB · 128K 398 GB
IQ4_XS
Inkling
not listed
GLM 5.1
409 GB361.3 GB file
32K 408 GB · 128K 417 GB
IQ4_NL
Inkling
not listed
GLM 5.1
428 GB368.9 GB file
32K 427 GB · 128K 436 GB
Q4_1
Inkling
not listed
GLM 5.1
428 GB472.7 GB file
32K 427 GB · 128K 436 GB
Q4_K_S
Inkling
not listed
GLM 5.1
428 GB433.9 GB file
32K 427 GB · 128K 436 GB
Q4_K_L
Inkling
not listed
GLM 5.1
466 GB460.4 GB file
32K 465 GB · 128K 474 GB
Q5_K_S
Inkling
not listed
GLM 5.1
523 GB525.9 GB file
32K 522 GB · 128K 530 GB
BF16
Inkling
1905 GB1894.3 GB file
32K 1912 GB · 128K 1932 GB
GLM 5.1
1512 GB1508.0 GB file
32K 1511 GB · 128K 1520 GB
Inkling
Ollama · Q4_K_M
ollama run hf.co/unsloth/inkling-GGUFGLM 5.1
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.1-GGUF:Q4_K_M| Spec | Inkling | GLM 5.1 |
|---|---|---|
| Publisher | Thinking Machines | Z.ai |
| Parameters | 952.4B | 753.9B |
| Active parameters | 18B per token | 42B per token |
| Architecture | InklingForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | — | 198K tokens |
| Modalities | Vision, Chat, Function-calling | Chat, Function-calling |
| License | Apache 2.0 | MIT |
| Released | Jul 2026 | Apr 2026 |
Frequently Asked Questions
Which is better, Inkling or GLM 5.1?
Inkling and GLM 5.1 match in llmrun Score, with values of 116.0 versus 117.8; neither fits 24 GB. Choose Inkling for also does vision and newer release; choose GLM 5.1 for stronger at agents and lighter on memory.
Which needs less VRAM, Inkling or GLM 5.1?
At Q4_K_M, Inkling requires 572.1 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 Inkling or GLM 5.1 on a 16 GB GPU?
Inkling does not fit (smallest quant needs 408.4 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).