Mistral Large 3 675B Instruct 2512 vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 89.6; neither fits 24 GB.

Run GLM 5.3 in the cloud →

Model A · Mistral AI

Mistral Large 3 675B Instruct 2512

89.6llmrun Score

675B · 41B active · Apache 2.0 · Nov 2025

ChatFunctions

Model B · Z.ai

GLM 5.3

130.1llmrun Score

753.3B · 41.8B active · 1M context · Other · Aug 2026

ChatFunctions

Which should you choose?

Choose Mistral Large 3 675B Instruct 2512 if you want…

More permissive license
Apache 2.0 vs Other

Choose GLM 5.3 if you want…

Higher llmrun Score
130.1 vs 89.6
Stronger at reasoning
130.1 vs 89.0
Stronger at coding
129.9 vs 92.8
Ahead on the benchmarks
5 of 5 shared boards
Newer release
Aug 2026 vs Nov 2025

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryMistral Large 3 675B Instruct 2512GLM 5.3

8 GB

RTX 4060 · 8 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 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).

llmrun Score

with its 90% range · bars share one scale

Mistral Large 3 675B Instruct 2512 GLM 5.3

Overall

Mistral Large 3 675B Instruct 2512

89.682–98

GLM 5.3

130.1128–132

Coding

Mistral Large 3 675B Instruct 2512

92.876–110

GLM 5.3

129.9124–136

Agents

Mistral Large 3 675B Instruct 2512

no data

GLM 5.3

133.5130–137

Math

Mistral Large 3 675B Instruct 2512

no data

GLM 5.3

128.5126–131

Science

Mistral Large 3 675B Instruct 2512

96.975–119

GLM 5.3

130.6118–143

Reasoning

Mistral Large 3 675B Instruct 2512

89.080–98

GLM 5.3

130.1124–136

Mistral Large 3 675B Instruct 2512 · #75 of 106 open models · #71 of 102 that fit ≤512 GB

GLM 5.3 · #6 of 106 open models · #4 of 102 that fit ≤512 GB

Benchmarks

5 shared boards: Mistral Large 3 675B Instruct 2512 leads 0, GLM 5.3 leads 5 · Benchmarks imported Nov 2026

BoardMistral Large 3 675B Instruct 2512GLM 5.3

SciCode

Mistral Large 3 675B Instruct 2512

36.6%#47/72 open

Lab-reportedEpoch AI · Dec 2025

GLM 5.3

59.0%#4/72 open

Lab-reportedEpoch AI · Aug 2026

ALE-Bench

Mistral Large 3 675B Instruct 2512

264.7#46/48 open

Lab-reportedEpoch AI · Dec 2025

GLM 5.3

1317.4#6/48 open

Lab-reportedEpoch AI · Aug 2026

CritPt

Mistral Large 3 675B Instruct 2512

0.0%#72/84 open

Lab-reportedEpoch AI · Dec 2025

GLM 5.3

19.1%#7/84 open

Lab-reportedEpoch AI · Aug 2026

DTBench

Mistral Large 3 675B Instruct 2512

65.1%#39/70 open

Lab-reportedEpoch AI · Dec 2025

GLM 5.3

87.7%#12/70 open

Lab-reportedEpoch AI · Aug 2026

LMCA

Mistral Large 3 675B Instruct 2512

16.7%#40/56 open

Lab-reportedEpoch AI · Dec 2025

GLM 5.3

55.5%#1/56 open

Lab-reportedEpoch AI · Aug 2026

27 more boards (other shared and single-model boards)

LMArena Text

Mistral Large 3 675B Instruct 2512

1414.3#41/188 open

ArenaLMArena · Oct 2026

GLM 5.3

1480.6#2/188 open

ArenaLMArena · Oct 2026

LMArena WebDev

Mistral Large 3 675B Instruct 2512

1232.6#53/55 open

ArenaLMArena · Oct 2026

GLM 5.3

1622.8#7/55 open

ArenaLMArena · Oct 2026

Only GLM 5.3 (25)

VRAM by quantization

Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.

QuantMistral Large 3 675B Instruct 2512GLM 5.3

Q2_K

Mistral Large 3 675B Instruct 2512

316 GB247.1 GB file

32K 335 GB · 128K 396 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_S

Mistral Large 3 675B Instruct 2512

325 GB291.9 GB file

32K 344 GB · 128K 405 GB

GLM 5.3

not listed

Q3_K_M

Mistral Large 3 675B Instruct 2512

362 GB321.8 GB file

32K 381 GB · 128K 442 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

Mistral Large 3 675B Instruct 2512

371 GB381.7 GB file

32K 390 GB · 128K 451 GB

GLM 5.3

not listed

Q4_K_M

Mistral Large 3 675B Instruct 2512

446 GB407.0 GB file

32K 465 GB · 128K 525 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

Mistral Large 3 675B Instruct 2512

529 GB478.0 GB file

32K 548 GB · 128K 609 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

Mistral Large 3 675B Instruct 2512

613 GB553.3 GB file

32K 632 GB · 128K 693 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

Mistral Large 3 675B Instruct 2512

743 GB715.7 GB file

32K 762 GB · 128K 822 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

14 more quants

IQ2_XXS

Mistral Large 3 675B Instruct 2512

204 GB224.8 GB file

32K 223 GB · 128K 284 GB

GLM 5.3

not listed

IQ2_XS

Mistral Large 3 675B Instruct 2512

223 GB189.5 GB file

32K 242 GB · 128K 303 GB

GLM 5.3

not listed

IQ2_S

Mistral Large 3 675B Instruct 2512

232 GB190.8 GB file

32K 251 GB · 128K 312 GB

GLM 5.3

not listed

IQ2_M

Mistral Large 3 675B Instruct 2512

251 GB235.4 GB file

32K 270 GB · 128K 331 GB

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

Mistral Large 3 675B Instruct 2512

288 GB279.2 GB file

32K 307 GB · 128K 368 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

Mistral Large 3 675B Instruct 2512

306 GB279.1 GB file

32K 325 GB · 128K 386 GB

GLM 5.3

not listed

IQ3_M

Mistral Large 3 675B Instruct 2512

334 GB309.9 GB file

32K 353 GB · 128K 414 GB

GLM 5.3

not listed

Q3_K_L

Mistral Large 3 675B Instruct 2512

381 GB321.7 GB file

32K 400 GB · 128K 460 GB

GLM 5.3

not listed

IQ4_XS

Mistral Large 3 675B Instruct 2512

399 GB360.0 GB file

32K 418 GB · 128K 479 GB

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Mistral Large 3 675B Instruct 2512

418 GB380.7 GB file

32K 437 GB · 128K 498 GB

GLM 5.3

not listed

Q4_1

Mistral Large 3 675B Instruct 2512

418 GB422.4 GB file

32K 437 GB · 128K 498 GB

GLM 5.3

not listed

Q4_K_S

Mistral Large 3 675B Instruct 2512

418 GB382.7 GB file

32K 437 GB · 128K 498 GB

GLM 5.3

not listed

Q5_K_S

Mistral Large 3 675B Instruct 2512

510 GB464.4 GB file

32K 530 GB · 128K 590 GB

GLM 5.3

not listed

BF16

Mistral Large 3 675B Instruct 2512

1485 GB1347.0 GB file

32K 1504 GB · 128K 1565 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

Mistral Large 3 675B Instruct 2512

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF:Q4_K_M

All ways to run Mistral Large 3 675B Instruct 2512 →

GLM 5.3

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-5.3-GGUF

All ways to run GLM 5.3 →

Specifications

Specifications of Mistral Large 3 675B Instruct 2512 and GLM 5.3
Spec	Mistral Large 3 675B Instruct 2512	GLM 5.3
Publisher	Mistral AI	Z.ai
Parameters	675B	753.3B
Active parameters	41B per token	42B per token
Architecture	—	GlmMoeDsaForCausalLM
Context	—	1M tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	Apache 2.0	Other
Released	Nov 2025	Aug 2026

Frequently Asked Questions

Which is better, Mistral Large 3 675B Instruct 2512 or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 89.6; neither fits 24 GB. Choose Mistral Large 3 675B Instruct 2512 for more permissive license; choose GLM 5.3 for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, Mistral Large 3 675B Instruct 2512 or GLM 5.3?

At Q4_K_M, Mistral Large 3 675B Instruct 2512 requires 445.5 GB while GLM 5.3 needs 456.2 GB, making Mistral Large 3 675B Instruct 2512 the easier model to run on your local setup.

Can I run Mistral Large 3 675B Instruct 2512 or GLM 5.3 on a 16 GB GPU?

Mistral Large 3 675B Instruct 2512 does not fit (smallest quant needs 213.1 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).