MiMo V2.6 Pro RL vs GLM 5.3

MiMo V2.6 Pro RL leads llmrun Score 134.9 to 130.2 (ranges overlap); neither fits 24 GB.

Model A · Xiaomi

MiMo V2.6 Pro RL

134.9llmrun Score

1020B · 42B active · 1M context · MIT · Sep 2026

ChatFunctions

Model B · Z.ai

GLM 5.3

130.2llmrun Score

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

ChatFunctions

Which should you choose?

Choose MiMo V2.6 Pro RL if you want…

Higher llmrun Score
134.9 vs 130.2, ranges overlap
Stronger at science
139.8 vs 130.8
More permissive license
MIT vs Other

Choose GLM 5.3 if you want…

Stronger at coding
130.5 vs 124.3
Lighter on memory
456.2 vs 612.5 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%.

MemoryMiMo V2.6 Pro RLGLM 5.3

8 GB

RTX 4060 · 8 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

MiMo V2.6 Pro RL

Doesn't fit

smallest quant needs 435.6 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 V2.6 Pro RL GLM 5.3

Overall

MiMo V2.6 Pro RL

134.9131–138

GLM 5.3

130.2128–132

Coding

MiMo V2.6 Pro RL

124.3115–133

GLM 5.3

130.5124–137

Agents

MiMo V2.6 Pro RL

no data

GLM 5.3

137.7133–142

Math

MiMo V2.6 Pro RL

no data

GLM 5.3

128.6126–131

Science

MiMo V2.6 Pro RL

139.8129–151

GLM 5.3

130.8119–143

Reasoning

MiMo V2.6 Pro RL

no data

GLM 5.3

125.6119–132

MiMo V2.6 Pro RL · #1 of 94 open models · #1 of 90 that fit ≤640 GB

GLM 5.3 · #4 of 94 open models · #3 of 90 that fit ≤512 GB

Benchmarks

5 shared boards: MiMo V2.6 Pro RL leads 3, GLM 5.3 leads 0 · Benchmarks imported Oct 2026

BoardMiMo V2.6 Pro RLGLM 5.3

LMArena Text

MiMo V2.6 Pro RL

1479.2#2/187 open

ArenaLMArena · Oct 2026

GLM 5.3

1478.5#3/187 open

ArenaLMArena · Oct 2026

LMArena WebDev

MiMo V2.6 Pro RL

1624.8#5/52 open

ArenaLMArena · Oct 2026

GLM 5.3

1621.1#6/52 open

ArenaLMArena · Oct 2026

SciCode

MiMo V2.6 Pro RL

60.9%#1/66 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.3

59.0%#3/66 open

Lab-reportedEpoch AI · Aug 2026

CritPt

MiMo V2.6 Pro RL

26.6%#1/66 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.3

19.1%#4/66 open

Lab-reportedEpoch AI · Aug 2026

ProofBench

MiMo V2.6 Pro RL

70.0%#3/26 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.3

49.0%#8/26 open

Lab-reportedEpoch AI · Aug 2026

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

ALE-Bench

MiMo V2.6 Pro RL

1158.1#6/43 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.3

1317.4#3/43 open

Lab-reportedEpoch AI · Aug 2026

APEX-Agents

MiMo V2.6 Pro RL

59.5%#1/16 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.3

56.6%#2/16 open

Lab-reportedEpoch AI · Aug 2026

Only GLM 5.3 (18)

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 V2.6 Pro RLGLM 5.3

Q2_K

MiMo V2.6 Pro RL

434 GB418.8 GB file

32K 437 GB · 128K 448 GB

GLM 5.3

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_M

MiMo V2.6 Pro RL

498 GB~497.3 GB file

32K 501 GB · 128K 512 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

MiMo V2.6 Pro RL

511 GB~510.0 GB file

32K 514 GB · 128K 524 GB

GLM 5.3

not listed

Q4_K_M

MiMo V2.6 Pro RL

613 GB~612.0 GB file

32K 616 GB · 128K 626 GB

GLM 5.3

456 GB~452.0 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

MiMo V2.6 Pro RL

727 GB~726.8 GB file

32K 731 GB · 128K 741 GB

GLM 5.3

541 GB~536.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

MiMo V2.6 Pro RL

842 GB~841.5 GB file

32K 845 GB · 128K 856 GB

GLM 5.3

626 GB~621.5 GB file

32K 625 GB · 128K 634 GB

Q8_0

MiMo V2.6 Pro RL

1021 GB~1020.0 GB file

32K 1024 GB · 128K 1034 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

4 more quants

IQ2_M

MiMo V2.6 Pro RL

not listed

GLM 5.3

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

MiMo V2.6 Pro RL

not listed

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ4_XS

MiMo V2.6 Pro RL

not listed

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

BF16

MiMo V2.6 Pro RL

2041 GB~2040.0 GB file

32K 2044 GB · 128K 2054 GB

GLM 5.3

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

MiMo V2.6 Pro RL

Ollama · Q4_K_M

$ollama run hf.co/ggml-org/MiMo-V2.6-Pro-RL-GGUF

All ways to run MiMo V2.6 Pro RL →

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 V2.6 Pro RL and GLM 5.3
Spec	MiMo V2.6 Pro RL	GLM 5.3
Publisher	Xiaomi	Z.ai
Parameters	1020B	753.3B
Active parameters	42B per token	42B per token
Architecture	MiMoV2ForCausalLM	GlmMoeDsaForCausalLM
Context	1M tokens	1M tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	MIT	Other
Released	Sep 2026	Aug 2026

Frequently Asked Questions

Which is better, MiMo V2.6 Pro RL or GLM 5.3?

MiMo V2.6 Pro RL leads llmrun Score 134.9 to 130.2 (ranges overlap); neither fits 24 GB. Choose MiMo V2.6 Pro RL for higher llmrun Score and stronger at science; choose GLM 5.3 for stronger at coding and lighter on memory.

Which needs less VRAM, MiMo V2.6 Pro RL or GLM 5.3?

At Q4_K_M, MiMo V2.6 Pro RL requires 612.5 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 V2.6 Pro RL or GLM 5.3 on a 16 GB GPU?

MiMo V2.6 Pro RL does not fit (smallest quant needs 435.6 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, MiMo V2.6 Pro RL or GLM 5.3?

MiMo V2.6 Pro RL supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.