Mistral Large 4 1T A52B vs GLM 5.1
Mistral Large 4 1T A52B and GLM 5.1 match in llmrun Score, with values of 118.0 versus 117.8; neither fits 24 GB.
Run Mistral Large 4 1T A52B in the cloud →
Model A · Mistral AI
Mistral Large 4 1T A52B1000B · 52B active · 1M context · Other · Sep 2026
Model B · Z.ai
GLM 5.1753.9B · 42.4B active · 198K context · MIT · Apr 2026
Choose Mistral Large 4 1T A52B if you want…
Ahead on the benchmarks
7 of 10 shared boards
Longer context window
1M vs 198K tokens
Also does vision
GLM 5.1 doesn't list it
Newer release
Sep 2026 vs Apr 2026
Choose GLM 5.1 if you want…
Stronger at agents
122.7 vs 116.6
Lighter on memory
456.5 vs 603.9 GB at Q4_K_M
Also does chat
Mistral Large 4 1T A52B 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
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
12 GB
RTX 3060 12GB · 12 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
24 GBreference
RTX 4090 · 24 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
32 GB
RTX 5090 · 32 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
48 GB
RTX A6000 · 48 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 32 GB
Mac Mini M4 · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.1
Doesn't fit
smallest quant needs 209.1 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 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
Mistral Large 4 1T A52B
GLM 5.1
Coding
Mistral Large 4 1T A52B
GLM 5.1
Agents
Mistral Large 4 1T A52B
GLM 5.1
Math
Mistral Large 4 1T A52B
GLM 5.1
Science
Mistral Large 4 1T A52B
GLM 5.1
Reasoning
Mistral Large 4 1T A52B
GLM 5.1
Mistral Large 4 1T A52B · #18 of 104 open models · #16 of 101 that fit ≤640 GB
GLM 5.1 · #19 of 104 open models · #17 of 101 that fit ≤512 GB
Benchmarks
10 shared boards: Mistral Large 4 1T A52B leads 7, GLM 5.1 leads 3 · Benchmarks imported Oct 2026
Mistral Large 4 1T A52B
88.1%#16/100 open
IndependentEpoch AI · Oct 2026
GLM 5.1
89.9%#11/100 open
IndependentEpoch AI · Apr 2026
Mistral Large 4 1T A52B
98.3%#4/88 open
IndependentEpoch AI · Oct 2026
GLM 5.1
93.3%#12/88 open
IndependentEpoch AI · Apr 2026
Mistral Large 4 1T A52B
58.6%#8/19 open
IndependentEpoch AI · Oct 2026
GLM 5.1
36.8%#15/19 open
IndependentEpoch AI · Apr 2026
Mistral Large 4 1T A52B
54.2%#7/70 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.1
44.8%#29/70 open
Lab-reportedEpoch AI · Apr 2026
Mistral Large 4 1T A52B
20.0%#17/19 open
IndependentEpoch AI · Oct 2026
GLM 5.1
34.0%#14/19 open
IndependentEpoch AI · Apr 2026
Mistral Large 4 1T A52B
1213.2#8/46 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.1
887.1#18/46 open
Lab-reportedEpoch AI · Apr 2026
Mistral Large 4 1T A52B
51.6%#5/20 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.1
40.9%#11/20 open
Lab-reportedEpoch AI · Apr 2026
Mistral Large 4 1T A52B
33.0%#6/16 open
IndependentEpoch AI · Oct 2026
GLM 5.1
20.0%#13/16 open
IndependentEpoch AI · Apr 2026
Mistral Large 4 1T A52B
10.6%#14/82 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.1
4.6%#21/82 open
Lab-reportedEpoch AI · Apr 2026
Mistral Large 4 1T A52B
10.0%#20/29 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.1
22.2%#11/29 open
Lab-reportedEpoch AI · Apr 2026
25 more boards (other shared and single-model boards)
Only Mistral Large 4 1T A52B (18)
- LiveBench Coding77.2
- LiveBench Reasoning83.9
- LiveBench Math93.6
- FrontierMath Tier 426.8%
- FrontierCode39.4%
- DTBench88.2%
- Furniture Assembly20.8%
- LiveBench 2026 Reasoning83.9
- LMCA35.8%
- Mystery Game Puzzles17.0%
- LiveBench 2026 Browser8.0
- LiveBench 2026 Data Analysis76.5
- LiveBench 2026 Coding60.0
- LiveBench 2026 Long-Horizon11.8
- Surface Evolver Bench28.1%
- LiveBench 2026 Design65.6
- WeirdML v34.5%
- LiveBench 2026 Research28.1
Only GLM 5.1 (7)
- LMArena Text1465.4
- LMArena WebDev1507.9
- SimpleBench55.1%
- WeirdML57.1%
- Vending-Bench 25634.4
- ExploitBench18.1%
- GBA Eval0.0%
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
Mistral Large 4 1T A52B
429 GB380.7 GB file
32K 483 GB · 128K 657 GB
GLM 5.1
325 GB265.8 GB file
32K 324 GB · 128K 332 GB
Q3_K_S
Mistral Large 4 1T A52B
not listed
GLM 5.1
334 GB313.5 GB file
32K 333 GB · 128K 342 GB
Q3_K_M
Mistral Large 4 1T A52B
491 GB~487.5 GB file
32K 546 GB · 128K 720 GB
GLM 5.1
372 GB338.4 GB file
32K 371 GB · 128K 380 GB
Q4_0
Mistral Large 4 1T A52B
not listed
GLM 5.1
381 GB427.6 GB file
32K 380 GB · 128K 389 GB
Q4_K_M
Mistral Large 4 1T A52B
604 GB634.8 GB file
32K 658 GB · 128K 832 GB
GLM 5.1
457 GB464.5 GB file
32K 456 GB · 128K 464 GB
Q5_K_M
Mistral Large 4 1T A52B
716 GB~712.5 GB file
32K 771 GB · 128K 945 GB
GLM 5.1
541 GB558.5 GB file
32K 540 GB · 128K 549 GB
Q6_K
Mistral Large 4 1T A52B
829 GB~825.0 GB file
32K 883 GB · 128K 1057 GB
GLM 5.1
626 GB621.3 GB file
32K 625 GB · 128K 634 GB
Q8_0
Mistral Large 4 1T A52B
1004 GB~1000.0 GB file
32K 1058 GB · 128K 1232 GB
GLM 5.1
758 GB801.3 GB file
32K 757 GB · 128K 766 GB
16 more quants
IQ2_XXS
Mistral Large 4 1T A52B
279 GB302.5 GB file
32K 333 GB · 128K 507 GB
GLM 5.1
212 GB220.6 GB file
32K 211 GB · 128K 219 GB
IQ2_XS
Mistral Large 4 1T A52B
not listed
GLM 5.1
230 GB226.6 GB file
32K 229 GB · 128K 238 GB
IQ2_S
Mistral Large 4 1T A52B
not listed
GLM 5.1
240 GB231.4 GB file
32K 239 GB · 128K 248 GB
IQ2_M
Mistral Large 4 1T A52B
not listed
GLM 5.1
259 GB236.2 GB file
32K 258 GB · 128K 267 GB
IQ3_XXS
Mistral Large 4 1T A52B
391 GB423.5 GB file
32K 446 GB · 128K 620 GB
GLM 5.1
296 GB268.3 GB file
32K 295 GB · 128K 304 GB
IQ3_XS
Mistral Large 4 1T A52B
not listed
GLM 5.1
315 GB343.9 GB file
32K 314 GB · 128K 323 GB
IQ3_S
Mistral Large 4 1T A52B
not listed
GLM 5.1
325 GB279.6 GB file
32K 324 GB · 128K 332 GB
IQ3_M
Mistral Large 4 1T A52B
not listed
GLM 5.1
343 GB360.3 GB file
32K 342 GB · 128K 351 GB
Q3_K_L
Mistral Large 4 1T A52B
not listed
GLM 5.1
391 GB358.9 GB file
32K 390 GB · 128K 398 GB
IQ4_XS
Mistral Large 4 1T A52B
not listed
GLM 5.1
409 GB361.3 GB file
32K 408 GB · 128K 417 GB
IQ4_NL
Mistral Large 4 1T A52B
not listed
GLM 5.1
428 GB368.9 GB file
32K 427 GB · 128K 436 GB
Q4_1
Mistral Large 4 1T A52B
not listed
GLM 5.1
428 GB472.7 GB file
32K 427 GB · 128K 436 GB
Q4_K_S
Mistral Large 4 1T A52B
not listed
GLM 5.1
428 GB433.9 GB file
32K 427 GB · 128K 436 GB
Q4_K_L
Mistral Large 4 1T A52B
not listed
GLM 5.1
466 GB460.4 GB file
32K 465 GB · 128K 474 GB
Q5_K_S
Mistral Large 4 1T A52B
not listed
GLM 5.1
523 GB525.9 GB file
32K 522 GB · 128K 530 GB
BF16
Mistral Large 4 1T A52B
2004 GB~2000.0 GB file
32K 2058 GB · 128K 2232 GB
GLM 5.1
1512 GB1508.0 GB file
32K 1511 GB · 128K 1520 GB
Mistral Large 4 1T A52B
Ollama · Q4_K_M
ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-GGUF:Q4_K_MGLM 5.1
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.1-GGUF:Q4_K_M| Spec | Mistral Large 4 1T A52B | GLM 5.1 |
|---|---|---|
| Publisher | Mistral AI | Z.ai |
| Parameters | 1000B | 753.9B |
| Active parameters | 52B per token | 42B per token |
| Architecture | MistralLarge4ForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 198K tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | Other | MIT |
| Released | Sep 2026 | Apr 2026 |
Frequently Asked Questions
Which is better, Mistral Large 4 1T A52B or GLM 5.1?
Mistral Large 4 1T A52B and GLM 5.1 match in llmrun Score, with values of 118.0 versus 117.8; neither fits 24 GB. Choose Mistral Large 4 1T A52B for ahead on the benchmarks and longer context window; choose GLM 5.1 for stronger at agents and lighter on memory.
Which needs less VRAM, Mistral Large 4 1T A52B or GLM 5.1?
At Q4_K_M, Mistral Large 4 1T A52B requires 603.9 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 Mistral Large 4 1T A52B or GLM 5.1 on a 16 GB GPU?
Mistral Large 4 1T A52B does not fit (smallest quant needs 304.3 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).
Which has a longer context window, Mistral Large 4 1T A52B or GLM 5.1?
Mistral Large 4 1T A52B supports 1,048,576 tokens and GLM 5.1 supports 202,752 tokens.