Qwen3.5 122B A10B vs GLM 4.5 Air
Qwen3.5 122B A10B leads llmrun Score 109.4 to 96.3 (ranges overlap); neither fits 24 GB.
Model A · Alibaba
Qwen3.5 122B A10B125.1B · 12.7B active · 256K context · Apache 2.0 · Feb 2026
Model B · Z.ai
GLM 4.5 Air110.5B · 15B active · 128K context · MIT · Jul 2025
Choose Qwen3.5 122B A10B if you want…
Higher llmrun Score
109.4 vs 96.3, ranges overlap
Longer context window
256K vs 128K tokens
Also does vision
GLM 4.5 Air doesn't list it
Newer release
Feb 2026 vs Jul 2025
Choose GLM 4.5 Air if you want…
Fits a 48 GB GPU
IQ3_XS · 46.9 GB; Qwen3.5 122B A10B needs 34.9 GB at its smallest quant
Also does chat
Qwen3.5 122B A10B doesn't list it
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
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
Doesn't fit
smallest quant needs 31.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
Doesn't fit
smallest quant needs 31.7 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
Doesn't fit
smallest quant needs 31.7 GB
24 GBreference
RTX 4090 · 24 GB tier
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
Doesn't fit
smallest quant needs 31.7 GB
32 GB
RTX 5090 · 32 GB tier
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
IQ2_XXS · ~164 tok/s
31.7 GB · up to 16Kfits
48 GB
RTX A6000 · 48 GB tier
Qwen3.5 122B A10B
IQ2_M · ~88 tok/s
42.7 GB · up to 256K
GLM 4.5 Air
IQ3_XS · ~67 tok/s
46.9 GB · up to 32Kbetter quant
Mac 32 GB
Mac Mini M4 · Macs
Qwen3.5 122B A10B
Doesn't fit
smallest quant needs 34.9 GB
GLM 4.5 Air
Doesn't fit
smallest quant needs 31.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Qwen3.5 122B A10B
IQ3_M · ~41 tok/s
56.7 GB · up to 256K
GLM 4.5 Air
Q3_K_L · ~34 tok/s
57.9 GB · up to 32K
Mac 128 GB
Mac Studio M4 Max · Macs
Qwen3.5 122B A10B
Q4_K_M · ~34 tok/s
75.5 GB · up to 256Kfaster
GLM 4.5 Air
Q4_K_M · ~30 tok/s
67.6 GB · up to 128K
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Qwen3.5 122B A10B
GLM 4.5 Air
Science
Qwen3.5 122B A10B
GLM 4.5 Air
no data
Reasoning
Qwen3.5 122B A10B
GLM 4.5 Air
no data
Qwen3.5 122B A10B · #25 of 92 open models · #6 of 54 that fit ≤96 GB
GLM 4.5 Air · #57 of 92 open models · #26 of 54 that fit ≤96 GB
Benchmarks
2 shared boards: Qwen3.5 122B A10B leads 2, GLM 4.5 Air leads 0 · Benchmarks imported Oct 2026
Qwen3.5 122B A10B
1416.3#37/186 open
ArenaLMArena · Oct 2026
GLM 4.5 Air
1373.1#62/186 open
ArenaLMArena · Oct 2026
Qwen3.5 122B A10B
86.7%#4/144 open
IndependentTIGER-Lab
GLM 4.5 Air
81.4%#19/144 open
IndependentTIGER-Lab
9 more boards (other shared and single-model boards)
Only Qwen3.5 122B A10B (6)
- LMArena WebDev1360.4
- SciCode35.6%
- CritPt0.9%
- DTBench84.3%
- LMCA32.2%
- Mystery Game Puzzles17.0%
Only GLM 4.5 Air (3)
- Humanity's Last Exam8.1%
- ForecastBench59.2
- GSO-Bench2.9%
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
Qwen3.5 122B A10B
53.5 GB46.4 GB file
32K 53.8 GB · 128K 54.7 GB
GLM 4.5 Air
47.4 GB45.3 GB file
32K 49.3 GB · 128K 55.5 GB
Q3_K_S
Qwen3.5 122B A10B
55.1 GB52.5 GB file
32K 55.3 GB · 128K 56.2 GB
GLM 4.5 Air
48.8 GB52.7 GB file
32K 50.7 GB · 128K 56.9 GB
Q3_K_M
Qwen3.5 122B A10B
61.4 GB56.4 GB file
32K 61.6 GB · 128K 62.5 GB
GLM 4.5 Air
54.3 GB57.2 GB file
32K 56.2 GB · 128K 62.4 GB
Q4_0
Qwen3.5 122B A10B
62.9 GB72.5 GB file
32K 63.2 GB · 128K 64.1 GB
GLM 4.5 Air
55.7 GB62.8 GB file
32K 57.6 GB · 128K 63.8 GB
Q4_K_M
Qwen3.5 122B A10B
75.4 GB76.5 GB file
32K 75.7 GB · 128K 76.6 GB
GLM 4.5 Air
66.7 GB73.0 GB file
32K 68.6 GB · 128K 74.8 GB
Q5_K_M
Qwen3.5 122B A10B
89.5 GB91.5 GB file
32K 89.7 GB · 128K 90.6 GB
GLM 4.5 Air
79.1 GB83.5 GB file
32K 81.1 GB · 128K 87.2 GB
Q6_K
Qwen3.5 122B A10B
104 GB101.0 GB file
32K 104 GB · 128K 105 GB
GLM 4.5 Air
91.6 GB99.0 GB file
32K 93.5 GB · 128K 99.7 GB
Q8_0
Qwen3.5 122B A10B
125 GB129.9 GB file
32K 126 GB · 128K 127 GB
GLM 4.5 Air
111 GB117.5 GB file
32K 113 GB · 128K 119 GB
18 more quants
IQ2_XXS
Qwen3.5 122B A10B
34.8 GB36.6 GB file
32K 35.0 GB · 128K 35.9 GB
GLM 4.5 Air
30.8 GB42.7 GB file
32K 32.7 GB · 128K 38.9 GB
IQ2_XS
Qwen3.5 122B A10B
37.9 GB40.0 GB file
32K 38.1 GB · 128K 39.0 GB
GLM 4.5 Air
33.6 GB42.2 GB file
32K 35.5 GB · 128K 41.7 GB
IQ2_S
Qwen3.5 122B A10B
39.5 GB40.6 GB file
32K 39.7 GB · 128K 40.6 GB
GLM 4.5 Air
35.0 GB42.5 GB file
32K 36.9 GB · 128K 43.1 GB
IQ2_M
Qwen3.5 122B A10B
42.6 GB39.1 GB file
32K 42.8 GB · 128K 43.7 GB
GLM 4.5 Air
37.7 GB44.4 GB file
32K 39.6 GB · 128K 45.8 GB
IQ3_XXS
Qwen3.5 122B A10B
48.9 GB44.7 GB file
32K 49.1 GB · 128K 50.0 GB
GLM 4.5 Air
43.2 GB51.4 GB file
32K 45.2 GB · 128K 51.3 GB
Q2_K_S
Qwen3.5 122B A10B
50.4 GB41.7 GB file
32K 50.6 GB · 128K 51.5 GB
GLM 4.5 Air
not listed
IQ3_XS
Qwen3.5 122B A10B
52.0 GB59.2 GB file
32K 52.2 GB · 128K 53.1 GB
GLM 4.5 Air
46.0 GB50.8 GB file
32K 47.9 GB · 128K 54.1 GB
IQ3_S
Qwen3.5 122B A10B
53.5 GB46.6 GB file
32K 53.8 GB · 128K 54.7 GB
GLM 4.5 Air
not listed
IQ3_M
Qwen3.5 122B A10B
56.7 GB61.6 GB file
32K 56.9 GB · 128K 57.8 GB
GLM 4.5 Air
50.1 GB55.5 GB file
32K 52.1 GB · 128K 58.2 GB
Q3_K_L
Qwen3.5 122B A10B
64.5 GB61.6 GB file
32K 64.7 GB · 128K 65.6 GB
GLM 4.5 Air
57.0 GB55.9 GB file
32K 59.0 GB · 128K 65.1 GB
IQ4_XS
Qwen3.5 122B A10B
67.6 GB60.2 GB file
32K 67.8 GB · 128K 68.7 GB
GLM 4.5 Air
59.8 GB60.5 GB file
32K 61.7 GB · 128K 67.9 GB
IQ4_NL
Qwen3.5 122B A10B
70.7 GB61.4 GB file
32K 71.0 GB · 128K 71.9 GB
GLM 4.5 Air
62.6 GB62.7 GB file
32K 64.5 GB · 128K 70.7 GB
Q4_1
Qwen3.5 122B A10B
70.7 GB79.7 GB file
32K 71.0 GB · 128K 71.9 GB
GLM 4.5 Air
62.6 GB69.4 GB file
32K 64.5 GB · 128K 70.7 GB
Q4_K_S
Qwen3.5 122B A10B
70.7 GB71.7 GB file
32K 71.0 GB · 128K 71.9 GB
GLM 4.5 Air
62.6 GB67.0 GB file
32K 64.5 GB · 128K 70.7 GB
Q4_K_L
Qwen3.5 122B A10B
77.0 GB78.2 GB file
32K 77.2 GB · 128K 78.1 GB
GLM 4.5 Air
not listed
Q5_K_S
Qwen3.5 122B A10B
86.4 GB86.4 GB file
32K 86.6 GB · 128K 87.5 GB
GLM 4.5 Air
76.4 GB78.4 GB file
32K 78.3 GB · 128K 84.5 GB
Q5_K_L
Qwen3.5 122B A10B
91.1 GB90.9 GB file
32K 91.3 GB · 128K 92.2 GB
GLM 4.5 Air
not listed
BF16
Qwen3.5 122B A10B
251 GB244.3 GB file
32K 251 GB · 128K 252 GB
GLM 4.5 Air
221 GB221.0 GB file
32K 223 GB · 128K 229 GB
Qwen3.5 122B A10B
Ollama · Q4_K_M
ollama run hf.co/unsloth/Qwen3.5-122B-A10B-GGUF:Q4_K_MGLM 4.5 Air
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q4_K_M| Spec | Qwen3.5 122B A10B | GLM 4.5 Air |
|---|---|---|
| Publisher | Alibaba | Z.ai |
| Parameters | 125.1B | 110.5B |
| Active parameters | 13B per token | 15B per token |
| Architecture | Qwen3_5MoeForConditionalGeneration | Glm4MoeForCausalLM |
| Context | 256K tokens | 128K tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | Apache 2.0 | MIT |
| Released | Feb 2026 | Jul 2025 |
Frequently Asked Questions
Which is better, Qwen3.5 122B A10B or GLM 4.5 Air?
Qwen3.5 122B A10B leads llmrun Score 109.4 to 96.3 (ranges overlap); neither fits 24 GB. Choose Qwen3.5 122B A10B for higher llmrun Score and longer context window; choose GLM 4.5 Air for fits a 48 GB GPU and also does chat.
Which needs less VRAM, Qwen3.5 122B A10B or GLM 4.5 Air?
At Q4_K_M, Qwen3.5 122B A10B requires 75.4 GB while GLM 4.5 Air needs 66.7 GB, making GLM 4.5 Air the easier model to run on your local setup.
Can I run Qwen3.5 122B A10B or GLM 4.5 Air on a 16 GB GPU?
Qwen3.5 122B A10B does not fit (smallest quant needs 34.9 GB); GLM 4.5 Air does not fit (smallest quant needs 31.7 GB).
Which has a longer context window, Qwen3.5 122B A10B or GLM 4.5 Air?
Qwen3.5 122B A10B supports 262,144 tokens and GLM 4.5 Air supports 131,072 tokens.