MiMo V2.5 vs GLM 4.7

MiMo V2.5 and GLM 4.7 match in llmrun Score, with values of 108.3 versus 108.3; neither fits 24 GB.

Model A · Xiaomi

MiMo V2.5

108.3llmrun Score

310.8B · 17.4B active · 1M context · MIT · Apr 2026

ChatFunctions

Model B · Z.ai

GLM 4.7

108.3llmrun Score

358.3B · 35.6B active · 198K context · MIT · Dec 2025

ChatFunctions

Which should you choose?

Choose MiMo V2.5 if you want…

Fits a Mac 128 GB
IQ3_XXS · 121.5 GB; GLM 4.7 needs 101.4 GB at its smallest quant
Longer context window
1M vs 198K tokens
Newer release
Apr 2026 vs Dec 2025

GLM 4.7: no clear edge over MiMo V2.5 in the data we have.

On your hardware

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

MemoryMiMo V2.5GLM 4.7

8 GB

RTX 4060 · 8 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

12 GB

RTX 3060 12GB · 12 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

24 GBreference

RTX 4090 · 24 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

32 GB

RTX 5090 · 32 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

48 GB

RTX A6000 · 48 GB tier

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

Mac 32 GB

Mac Mini M4 · Macs

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

Mac 64 GB

Mac Studio M4 Max · Macs

MiMo V2.5

Doesn't fit

smallest quant needs 86.6 GB

GLM 4.7

Doesn't fit

smallest quant needs 101.4 GB

Mac 128 GB

Mac Studio M4 Max · Macs

MiMo V2.5

IQ3_XXS · ~37 tok/s

121.5 GB · up to 64Kbetter quant

GLM 4.7

IQ2_M · ~20 tok/s

123.8 GB · up to 16K

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 GLM 4.7

Overall

MiMo V2.5

108.399–118

GLM 4.7

108.3105–112

Coding

MiMo V2.5

103.390–116

GLM 4.7

101.388–115

Agents

MiMo V2.5

no data

GLM 4.7

105.898–114

Math

MiMo V2.5

no data

GLM 4.7

111.1104–118

Science

MiMo V2.5

106.987–127

GLM 4.7

111.2102–120

Reasoning

MiMo V2.5

no data

GLM 4.7

104.392–116

MiMo V2.5 · #30 of 92 open models · #13 of 71 that fit ≤192 GB

GLM 4.7 · #29 of 92 open models · #18 of 77 that fit ≤256 GB

Benchmarks

5 shared boards: MiMo V2.5 leads 2, GLM 4.7 leads 2 · Benchmarks imported Oct 2026

BoardMiMo V2.5GLM 4.7

LMArena Text

MiMo V2.5

1433.7#24/186 open

ArenaLMArena · Oct 2026

GLM 4.7

1441.2#18/186 open

ArenaLMArena · Oct 2026

LMArena WebDev

MiMo V2.5

1438.1#20/50 open

ArenaLMArena · Oct 2026

GLM 4.7

1435.0#22/50 open

ArenaLMArena · Oct 2026

SciCode

MiMo V2.5

43.1%#24/65 open

Lab-reportedEpoch AI

GLM 4.7

45.1%#20/65 open

Lab-reportedEpoch AI · Dec 2025

CritPt

MiMo V2.5

3.7%#21/65 open

Lab-reportedEpoch AI

GLM 4.7

1.7%#28/65 open

Lab-reportedEpoch AI · Dec 2025

ProofBench

MiMo V2.5

16.0%#17/26 open

Lab-reportedEpoch AI

GLM 4.7

6.0%#20/26 open

Lab-reportedEpoch AI · Dec 2025

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

ALE-Bench

MiMo V2.5

514.0#30/42 open

Lab-reportedEpoch AI

GLM 4.7

399.5#34/42 open

Lab-reportedEpoch AI · Dec 2025

Only GLM 4.7 (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.

QuantMiMo V2.5GLM 4.7

Q2_K

MiMo V2.5

132 GB108.9 GB file

32K 134 GB · 128K 139 GB

GLM 4.7

153 GB131.2 GB file

32K 158 GB · 128K 173 GB

Q3_K_S

MiMo V2.5

136 GB135.1 GB file

32K 138 GB · 128K 143 GB

GLM 4.7

157 GB155.0 GB file

32K 162 GB · 128K 178 GB

Q3_K_M

MiMo V2.5

152 GB140.0 GB file

32K 153 GB · 128K 158 GB

GLM 4.7

175 GB171.3 GB file

32K 180 GB · 128K 196 GB

Q4_0

MiMo V2.5

156 GB175.8 GB file

32K 157 GB · 128K 162 GB

GLM 4.7

180 GB203.0 GB file

32K 185 GB · 128K 200 GB

Q4_K_M

MiMo V2.5

187 GB190.9 GB file

32K 188 GB · 128K 193 GB

GLM 4.7

216 GB216.5 GB file

32K 220 GB · 128K 236 GB

Q5_K_M

MiMo V2.5

222 GB230.2 GB file

32K 223 GB · 128K 228 GB

GLM 4.7

256 GB254.2 GB file

32K 261 GB · 128K 276 GB

Q6_K

MiMo V2.5

257 GB257.0 GB file

32K 258 GB · 128K 263 GB

GLM 4.7

296 GB294.4 GB file

32K 301 GB · 128K 317 GB

Q8_0

MiMo V2.5

311 GB329.3 GB file

32K 313 GB · 128K 318 GB

GLM 4.7

359 GB381.0 GB file

32K 364 GB · 128K 379 GB

16 more quants

IQ2_XXS

MiMo V2.5

85.9 GB96.5 GB file

32K 87.4 GB · 128K 92.2 GB

GLM 4.7

99.2 GB115.9 GB file

32K 104 GB · 128K 119 GB

IQ2_XS

MiMo V2.5

93.6 GB93.1 GB file

32K 95.1 GB · 128K 100 GB

GLM 4.7

108 GB101.5 GB file

32K 113 GB · 128K 128 GB

IQ2_S

MiMo V2.5

97.5 GB94.7 GB file

32K 99.0 GB · 128K 104 GB

GLM 4.7

113 GB102.3 GB file

32K 117 GB · 128K 133 GB

IQ2_M

MiMo V2.5

105 GB96.6 GB file

32K 107 GB · 128K 112 GB

GLM 4.7

122 GB122.4 GB file

32K 126 GB · 128K 142 GB

IQ3_XXS

MiMo V2.5

121 GB125.9 GB file

32K 122 GB · 128K 127 GB

GLM 4.7

139 GB145.1 GB file

32K 144 GB · 128K 160 GB

IQ3_XS

MiMo V2.5

129 GB142.2 GB file

32K 130 GB · 128K 135 GB

GLM 4.7

148 GB148.7 GB file

32K 153 GB · 128K 169 GB

IQ3_S

MiMo V2.5

132 GB114.9 GB file

32K 134 GB · 128K 139 GB

GLM 4.7

153 GB154.6 GB file

32K 158 GB · 128K 173 GB

IQ3_M

MiMo V2.5

140 GB148.3 GB file

32K 142 GB · 128K 147 GB

GLM 4.7

162 GB164.8 GB file

32K 167 GB · 128K 182 GB

Q3_K_L

MiMo V2.5

160 GB147.9 GB file

32K 161 GB · 128K 166 GB

GLM 4.7

184 GB170.6 GB file

32K 189 GB · 128K 205 GB

IQ4_XS

MiMo V2.5

167 GB149.4 GB file

32K 169 GB · 128K 174 GB

GLM 4.7

193 GB191.6 GB file

32K 198 GB · 128K 213 GB

IQ4_NL

MiMo V2.5

175 GB152.6 GB file

32K 177 GB · 128K 182 GB

GLM 4.7

202 GB202.5 GB file

32K 207 GB · 128K 222 GB

Q4_1

MiMo V2.5

175 GB194.3 GB file

32K 177 GB · 128K 182 GB

GLM 4.7

202 GB224.6 GB file

32K 207 GB · 128K 222 GB

Q4_K_S

MiMo V2.5

175 GB178.8 GB file

32K 177 GB · 128K 182 GB

GLM 4.7

202 GB203.7 GB file

32K 207 GB · 128K 222 GB

Q4_K_L

MiMo V2.5

191 GB189.2 GB file

32K 192 GB · 128K 197 GB

GLM 4.7

220 GB219.1 GB file

32K 225 GB · 128K 240 GB

Q5_K_S

MiMo V2.5

214 GB216.3 GB file

32K 216 GB · 128K 220 GB

GLM 4.7

247 GB247.0 GB file

32K 252 GB · 128K 267 GB

BF16

MiMo V2.5

622 GB619.6 GB file

32K 623 GB · 128K 628 GB

GLM 4.7

717 GB716.8 GB file

32K 722 GB · 128K 738 GB

How to run each

MiMo V2.5

Ollama · Q4_K_M

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

All ways to run MiMo V2.5 →

GLM 4.7

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-4.7-GGUF:Q4_K_M

All ways to run GLM 4.7 →

Specifications

Specifications of MiMo V2.5 and GLM 4.7
Spec	MiMo V2.5	GLM 4.7
Publisher	Xiaomi	Z.ai
Parameters	310.8B	358.3B
Active parameters	17B per token	36B per token
Architecture	MiMoV2ForCausalLM	Glm4MoeForCausalLM
Context	1M tokens	198K tokens
Modalities	Chat, Function-calling	Chat, Function-calling
License	MIT	MIT
Released	Apr 2026	Dec 2025

Frequently Asked Questions

Which is better, MiMo V2.5 or GLM 4.7?

MiMo V2.5 and GLM 4.7 match in llmrun Score, with values of 108.3 versus 108.3; neither fits 24 GB. Choose MiMo V2.5 for fits a Mac 128 GB and longer context window.

Which needs less VRAM, MiMo V2.5 or GLM 4.7?

At Q4_K_M, MiMo V2.5 requires 186.9 GB while GLM 4.7 needs 215.6 GB, making MiMo V2.5 the easier model to run on your local setup.

Can I run MiMo V2.5 or GLM 4.7 on a 16 GB GPU?

MiMo V2.5 does not fit (smallest quant needs 86.6 GB); GLM 4.7 does not fit (smallest quant needs 101.4 GB).

Which has a longer context window, MiMo V2.5 or GLM 4.7?

MiMo V2.5 supports 1,048,576 tokens and GLM 4.7 supports 202,752 tokens.