Kimi K2.7 Code vs GLM 5.2

GLM 5.2 leads llmrun Score 122.9 to 118.1; neither fits 24 GB.

Model A · Moonshot AI

Kimi K2.7 Code

118.1llmrun Score

1026.9B · 33.3B active · 256K context · Other · Jun 2026

VisionCodeFunctions

Model B · Z.ai

GLM 5.2

122.9llmrun Score

753.3B · 41.8B active · 1M context · MIT · Jun 2026

ChatFunctions

Which should you choose?

Choose Kimi K2.7 Code if you want…

Also does vision, code
GLM 5.2 doesn't list it

Choose GLM 5.2 if you want…

Higher llmrun Score
122.9 vs 118.1
Stronger at science
128.5 vs 117.7
Stronger at agents
128.2 vs 118.7
Ahead on the benchmarks
15 of 19 shared boards
Lighter on memory
456.2 vs 620.0 GB at Q4_K_M
Longer context window
1M vs 256K tokens

On your hardware

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

MemoryKimi K2.7 CodeGLM 5.2

8 GB

RTX 4060 · 8 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

12 GB

RTX 3060 12GB · 12 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

24 GBreference

RTX 4090 · 24 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

32 GB

RTX 5090 · 32 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

48 GB

RTX A6000 · 48 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

Mac 32 GB

Mac Mini M4 · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.2

Doesn't fit

smallest quant needs 208.9 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

Kimi K2.7 Code GLM 5.2

Overall

Kimi K2.7 Code

118.1115–121

GLM 5.2

122.9121–125

Coding

Kimi K2.7 Code

114.8110–120

GLM 5.2

120.2115–125

Agents

Kimi K2.7 Code

118.7112–125

GLM 5.2

128.2123–133

Math

Kimi K2.7 Code

120.7116–125

GLM 5.2

125.7123–128

Science

Kimi K2.7 Code

117.7107–128

GLM 5.2

128.5117–141

Reasoning

Kimi K2.7 Code

115.4106–125

GLM 5.2

119.8117–123

Kimi K2.7 Code · #14 of 100 open models · #12 of 96 that fit ≤640 GB

GLM 5.2 · #10 of 100 open models · #8 of 96 that fit ≤512 GB

Benchmarks

19 shared boards: Kimi K2.7 Code leads 4, GLM 5.2 leads 15 · Benchmarks imported Oct 2026

BoardKimi K2.7 CodeGLM 5.2

GPQA Diamond

Kimi K2.7 Code

87.9%#15/98 open

IndependentEpoch AI · Jun 2026

GLM 5.2

91.9%#2/98 open

IndependentEpoch AI · Jun 2026

LiveBench Coding

Kimi K2.7 Code

74.0#11/19 open

IndependentLiveBench · Jun 2026

GLM 5.2

79.7#3/19 open

IndependentLiveBench · Jun 2026

LiveBench Reasoning

Kimi K2.7 Code

82.8#9/19 open

IndependentLiveBench · Jun 2026

GLM 5.2

78.6#13/19 open

IndependentLiveBench · Jun 2026

AIME 2024/2025

Kimi K2.7 Code

95.6%#7/86 open

IndependentEpoch AI · Jun 2026

GLM 5.2

86.4%#21/86 open

IndependentEpoch AI · Jun 2026

FrontierMath

Kimi K2.7 Code

54.0%#10/17 open

IndependentEpoch AI · Jun 2026

GLM 5.2

59.2%#6/17 open

IndependentEpoch AI · Jun 2026

LiveBench Math

Kimi K2.7 Code

79.6#18/19 open

IndependentLiveBench · Jun 2026

GLM 5.2

89.8#5/19 open

IndependentLiveBench · Jun 2026

SciCode

Kimi K2.7 Code

47.8%#16/66 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

51.2%#8/66 open

Lab-reportedEpoch AI · Jun 2026

SimpleQA

Kimi K2.7 Code

36.5%#9/17 open

IndependentEpoch AI · Jun 2026

GLM 5.2

34.2%#12/17 open

IndependentEpoch AI · Jun 2026

FrontierMath Tier 4

Kimi K2.7 Code

12.2%#11/13 open

IndependentEpoch AI · Jun 2026

GLM 5.2

29.3%#3/13 open

IndependentEpoch AI · Jun 2026

SimpleBench

Kimi K2.7 Code

57.9%#4/25 open

IndependentEpoch AI · Jun 2026

GLM 5.2

58.8%#3/25 open

IndependentEpoch AI · Jun 2026

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

WeirdML

Kimi K2.7 Code

54.1%#8/46 open

IndependentEpoch AI · Jun 2026

GLM 5.2

70.1%#3/46 open

IndependentEpoch AI · Jun 2026

DeepSWE

Kimi K2.7 Code

30.5%#5/5 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

43.8%#4/5 open

Lab-reportedEpoch AI · Jun 2026

FrontierCode

Kimi K2.7 Code

30.1%#5/12 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

24.5%#7/12 open

Lab-reportedEpoch AI · Jun 2026

ALE-Bench

Kimi K2.7 Code

886.2#16/43 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

1047.0#9/43 open

Lab-reportedEpoch AI · Jun 2026

APEX-Agents

Kimi K2.7 Code

37.6%#11/16 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

45.2%#7/16 open

Lab-reportedEpoch AI · Jun 2026

Chess Puzzles

Kimi K2.7 Code

14.0%#13/14 open

IndependentEpoch AI · Jun 2026

GLM 5.2

22.0%#6/14 open

IndependentEpoch AI · Jun 2026

CritPt

Kimi K2.7 Code

10.0%#11/66 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

20.9%#3/66 open

Lab-reportedEpoch AI · Jun 2026

Surface Evolver Bench

Kimi K2.7 Code

48.8%#5/13 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

55.6%#2/13 open

Lab-reportedEpoch AI · Jun 2026

Vending-Bench 2

Kimi K2.7 Code

5082.9#6/17 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.2

8313.8#1/17 open

Lab-reportedEpoch AI · Jun 2026

LMArena WebDev

Kimi K2.7 Code

1473.8#19/52 open

ArenaLMArena · Oct 2026

GLM 5.2

1604.6#9/52 open

ArenaLMArena · Oct 2026

Only GLM 5.2 (8)

VRAM by quantization

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

QuantKimi K2.7 CodeGLM 5.2

Q2_K

Kimi K2.7 Code

440 GB~436.4 GB file

32K 439 GB · 128K 446 GB

GLM 5.2

324 GB~320.2 GB file

32K 323 GB · 128K 332 GB

Q3_K_M

Kimi K2.7 Code

504 GB463.6 GB file

32K 503 GB · 128K 510 GB

GLM 5.2

371 GB342.7 GB file

32K 370 GB · 128K 379 GB

Q4_K_M

Kimi K2.7 Code

620 GB~616.1 GB file

32K 619 GB · 128K 626 GB

GLM 5.2

456 GB465.8 GB file

32K 455 GB · 128K 464 GB

Q5_K_M

Kimi K2.7 Code

736 GB~731.6 GB file

32K 734 GB · 128K 741 GB

GLM 5.2

541 GB560.8 GB file

32K 540 GB · 128K 549 GB

Q6_K

Kimi K2.7 Code

851 GB~847.2 GB file

32K 850 GB · 128K 857 GB

GLM 5.2

626 GB625.9 GB file

32K 625 GB · 128K 634 GB

Q8_0

Kimi K2.7 Code

1031 GB~1026.9 GB file

32K 1029 GB · 128K 1036 GB

GLM 5.2

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

12 more quants

IQ2_XXS

Kimi K2.7 Code

286 GB317.8 GB file

32K 285 GB · 128K 292 GB

GLM 5.2

211 GB238.5 GB file

32K 210 GB · 128K 219 GB

IQ2_XS

Kimi K2.7 Code

not listed

GLM 5.2

230 GB230.0 GB file

32K 229 GB · 128K 238 GB

IQ2_S

Kimi K2.7 Code

325 GB334.8 GB file

32K 324 GB · 128K 330 GB

GLM 5.2

not listed

IQ2_M

Kimi K2.7 Code

350 GB318.0 GB file

32K 349 GB · 128K 356 GB

GLM 5.2

258 GB238.6 GB file

32K 257 GB · 128K 266 GB

IQ3_XXS

Kimi K2.7 Code

402 GB376.9 GB file

32K 401 GB · 128K 407 GB

GLM 5.2

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ3_S

Kimi K2.7 Code

440 GB418.8 GB file

32K 439 GB · 128K 446 GB

GLM 5.2

324 GB308.6 GB file

32K 323 GB · 128K 332 GB

Q3_K_L

Kimi K2.7 Code

530 GB493.9 GB file

32K 529 GB · 128K 536 GB

GLM 5.2

not listed

IQ4_XS

Kimi K2.7 Code

556 GB495.1 GB file

32K 555 GB · 128K 561 GB

GLM 5.2

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Kimi K2.7 Code

not listed

GLM 5.2

428 GB372.7 GB file

32K 427 GB · 128K 436 GB

Q4_K_S

Kimi K2.7 Code

not listed

GLM 5.2

428 GB436.4 GB file

32K 427 GB · 128K 436 GB

Q5_K_S

Kimi K2.7 Code

not listed

GLM 5.2

522 GB527.3 GB file

32K 521 GB · 128K 530 GB

BF16

Kimi K2.7 Code

2058 GB~2053.8 GB file

32K 2056 GB · 128K 2063 GB

GLM 5.2

1511 GB1508.0 GB file

32K 1510 GB · 128K 1519 GB

How to run each

Kimi K2.7 Code

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Kimi-K2.7-Code-GGUF

All ways to run Kimi K2.7 Code →

GLM 5.2

Ollama · Q4_K_M

$ollama run hf.co/unsloth/GLM-5.2-GGUF:Q4_K_M

All ways to run GLM 5.2 →

Specifications

Specifications of Kimi K2.7 Code and GLM 5.2
Spec	Kimi K2.7 Code	GLM 5.2
Publisher	Moonshot AI	Z.ai
Parameters	1026.9B	753.3B
Active parameters	33B per token	42B per token
Architecture	KimiK25ForConditionalGeneration	GlmMoeDsaForCausalLM
Context	256K tokens	1M tokens
Modalities	Vision, Code, Function-calling	Chat, Function-calling
License	Other	MIT
Released	Jun 2026	Jun 2026

Frequently Asked Questions

Which is better, Kimi K2.7 Code or GLM 5.2?

GLM 5.2 leads llmrun Score 122.9 to 118.1; neither fits 24 GB. Choose Kimi K2.7 Code for also does vision, code; choose GLM 5.2 for higher llmrun Score and stronger at science.

Which needs less VRAM, Kimi K2.7 Code or GLM 5.2?

At Q4_K_M, Kimi K2.7 Code requires 620.0 GB while GLM 5.2 needs 456.2 GB, making GLM 5.2 the easier model to run on your local setup.

Can I run Kimi K2.7 Code or GLM 5.2 on a 16 GB GPU?

Kimi K2.7 Code does not fit (smallest quant needs 283.8 GB); GLM 5.2 does not fit (smallest quant needs 208.9 GB).

Which has a longer context window, Kimi K2.7 Code or GLM 5.2?

Kimi K2.7 Code supports 262,144 tokens and GLM 5.2 supports 1,048,576 tokens.