MiMo V2.5 Pro vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 116.4; neither fits 24 GB.

Model A · Xiaomi

MiMo V2.5 Pro

116.4llmrun Score

1023.2B · 43.9B active · 1M context · MIT · Apr 2026

ChatFunctionsCode

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 MiMo V2.5 Pro if you want…

Also does code
GLM 5.3 doesn't list it
More permissive license
MIT vs Other

Choose GLM 5.3 if you want…

Higher llmrun Score
130.1 vs 116.4
Stronger at reasoning
130.1 vs 110.8
Stronger at science
130.8 vs 114.6
Ahead on the benchmarks
6 of 6 shared boards
Lighter on memory
456.2 vs 614.5 GB at Q4_K_M
Newer release
Aug 2026 vs Apr 2026

On your hardware

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

MemoryMiMo V2.5 ProGLM 5.3

8 GB

RTX 4060 · 8 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

MiMo V2.5 Pro

Doesn't fit

smallest quant needs 283.5 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

MiMo V2.5 Pro GLM 5.3

Overall

MiMo V2.5 Pro

116.4111–122

GLM 5.3

130.1128–132

Coding

MiMo V2.5 Pro

115.6106–126

GLM 5.3

130.1124–136

Agents

MiMo V2.5 Pro

no data

GLM 5.3

133.4130–137

Math

MiMo V2.5 Pro

no data

GLM 5.3

128.6126–131

Science

MiMo V2.5 Pro

114.697–133

GLM 5.3

130.8119–143

Reasoning

MiMo V2.5 Pro

110.8102–120

GLM 5.3

130.1124–136

MiMo V2.5 Pro · #17 of 100 open models · #14 of 96 that fit ≤640 GB

GLM 5.3 · #4 of 100 open models · #3 of 96 that fit ≤512 GB

Benchmarks

6 shared boards: MiMo V2.5 Pro leads 0, GLM 5.3 leads 6 · Benchmarks imported Oct 2026

BoardMiMo V2.5 ProGLM 5.3

SciCode

MiMo V2.5 Pro

50.2%#10/66 open

Lab-reportedEpoch AI

GLM 5.3

59.0%#3/66 open

Lab-reportedEpoch AI · Aug 2026

ALE-Bench

MiMo V2.5 Pro

899.8#14/43 open

Lab-reportedEpoch AI

GLM 5.3

1317.4#3/43 open

Lab-reportedEpoch AI · Aug 2026

CritPt

MiMo V2.5 Pro

4.0%#18/66 open

Lab-reportedEpoch AI

GLM 5.3

19.1%#4/66 open

Lab-reportedEpoch AI · Aug 2026

DTBench

MiMo V2.5 Pro

84.5%#16/68 open

Lab-reportedEpoch AI

GLM 5.3

87.7%#11/68 open

Lab-reportedEpoch AI · Aug 2026

LMCA

MiMo V2.5 Pro

29.5%#21/54 open

Lab-reportedEpoch AI

GLM 5.3

55.5%#1/54 open

Lab-reportedEpoch AI · Aug 2026

ProofBench

MiMo V2.5 Pro

22.0%#11/26 open

Lab-reportedEpoch AI

GLM 5.3

49.0%#8/26 open

Lab-reportedEpoch AI · Aug 2026

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

LMArena Text

MiMo V2.5 Pro

1467.3#7/187 open

ArenaLMArena · Oct 2026

GLM 5.3

1478.5#3/187 open

ArenaLMArena · Oct 2026

LMArena WebDev

MiMo V2.5 Pro

1481.3#18/52 open

ArenaLMArena · Oct 2026

GLM 5.3

1621.1#6/52 open

ArenaLMArena · Oct 2026

Only GLM 5.3 (24)

VRAM by quantization

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

QuantMiMo V2.5 ProGLM 5.3

Q2_K

MiMo V2.5 Pro

435 GB~434.9 GB file

32K 439 GB · 128K 449 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_M

MiMo V2.5 Pro

499 GB459.7 GB file

32K 503 GB · 128K 513 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_K_M

MiMo V2.5 Pro

614 GB629.6 GB file

32K 618 GB · 128K 628 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

MiMo V2.5 Pro

730 GB758.0 GB file

32K 733 GB · 128K 743 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

MiMo V2.5 Pro

845 GB846.6 GB file

32K 848 GB · 128K 859 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

MiMo V2.5 Pro

1024 GB1087.6 GB file

32K 1027 GB · 128K 1038 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

10 more quants

IQ2_XXS

MiMo V2.5 Pro

282 GB317.2 GB file

32K 285 GB · 128K 296 GB

GLM 5.3

not listed

IQ2_S

MiMo V2.5 Pro

320 GB319.4 GB file

32K 324 GB · 128K 334 GB

GLM 5.3

not listed

IQ2_M

MiMo V2.5 Pro

346 GB317.3 GB file

32K 349 GB · 128K 360 GB

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

MiMo V2.5 Pro

397 GB412.7 GB file

32K 400 GB · 128K 411 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ3_S

MiMo V2.5 Pro

435 GB377.9 GB file

32K 439 GB · 128K 449 GB

GLM 5.3

not listed

IQ4_XS

MiMo V2.5 Pro

551 GB490.7 GB file

32K 554 GB · 128K 564 GB

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

MiMo V2.5 Pro

576 GB501.3 GB file

32K 579 GB · 128K 590 GB

GLM 5.3

not listed

Q4_K_S

MiMo V2.5 Pro

576 GB588.5 GB file

32K 579 GB · 128K 590 GB

GLM 5.3

not listed

Q5_K_S

MiMo V2.5 Pro

704 GB713.2 GB file

32K 707 GB · 128K 718 GB

GLM 5.3

not listed

BF16

MiMo V2.5 Pro

2047 GB2046.7 GB file

32K 2050 GB · 128K 2061 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

MiMo V2.5 Pro

Ollama · Q4_K_M

$ollama run hf.co/unsloth/MiMo-V2.5-Pro-GGUF:Q4_K_M

All ways to run MiMo V2.5 Pro →

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 MiMo V2.5 Pro and GLM 5.3
Spec	MiMo V2.5 Pro	GLM 5.3
Publisher	Xiaomi	Z.ai
Parameters	1023.2B	753.3B
Active parameters	44B per token	42B per token
Architecture	MiMoV2ForCausalLM	GlmMoeDsaForCausalLM
Context	1M tokens	1M tokens
Modalities	Chat, Function-calling, Code	Chat, Function-calling
License	MIT	Other
Released	Apr 2026	Aug 2026

Frequently Asked Questions

Which is better, MiMo V2.5 Pro or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 116.4; neither fits 24 GB. Choose MiMo V2.5 Pro for also does code and more permissive license; choose GLM 5.3 for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, MiMo V2.5 Pro or GLM 5.3?

At Q4_K_M, MiMo V2.5 Pro requires 614.5 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.

Can I run MiMo V2.5 Pro or GLM 5.3 on a 16 GB GPU?

MiMo V2.5 Pro does not fit (smallest quant needs 283.5 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, MiMo V2.5 Pro or GLM 5.3?

MiMo V2.5 Pro supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.