Kimi K2.7 Code vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 118.1; neither fits 24 GB.

Run GLM 5.3 in the cloud →

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 5.3

130.1llmrun Score

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

ChatFunctions

Which should you choose?

Choose Kimi K2.7 Code if you want…

Also does vision, code
GLM 5.3 doesn't list it

Choose GLM 5.3 if you want…

Higher llmrun Score
130.1 vs 118.1
Stronger at coding
129.9 vs 114.8
Stronger at agents
133.5 vs 118.7
Ahead on the benchmarks
16 of 17 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 5.3

8 GB

RTX 4060 · 8 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

12 GB

RTX 3060 12GB · 12 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

24 GBreference

RTX 4090 · 24 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

32 GB

RTX 5090 · 32 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

48 GB

RTX A6000 · 48 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 32 GB

Mac Mini M4 · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.3

Doesn't fit

smallest quant needs 256 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 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

Kimi K2.7 Code GLM 5.3

Overall

Kimi K2.7 Code

118.1115–121

GLM 5.3

130.1128–132

Coding

Kimi K2.7 Code

114.8110–120

GLM 5.3

129.9124–136

Agents

Kimi K2.7 Code

118.7112–125

GLM 5.3

133.5130–137

Math

Kimi K2.7 Code

120.7116–125

GLM 5.3

128.5126–131

Science

Kimi K2.7 Code

117.6107–129

GLM 5.3

130.6118–143

Reasoning

Kimi K2.7 Code

115.3106–125

GLM 5.3

130.1124–136

Kimi K2.7 Code · #19 of 106 open models · #16 of 102 that fit ≤640 GB

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

Benchmarks

17 shared boards: Kimi K2.7 Code leads 1, GLM 5.3 leads 16 · Benchmarks imported Nov 2026

BoardKimi K2.7 CodeGLM 5.3

GPQA Diamond

Kimi K2.7 Code

87.9%#17/100 open

IndependentEpoch AI · Jun 2026

GLM 5.3

90.9%#8/100 open

IndependentEpoch AI · Aug 2026

LiveBench Coding

Kimi K2.7 Code

74.0#12/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

79.0#4/20 open

IndependentLiveBench · Jun 2026

LiveBench Reasoning

Kimi K2.7 Code

82.8#10/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

85.8#7/20 open

IndependentLiveBench · Jun 2026

AIME 2024/2025

Kimi K2.7 Code

95.6%#9/88 open

IndependentEpoch AI · Jun 2026

GLM 5.3

91.1%#15/88 open

IndependentEpoch AI · Aug 2026

FrontierMath

Kimi K2.7 Code

54.0%#12/19 open

IndependentEpoch AI · Jun 2026

GLM 5.3

68.8%#4/19 open

IndependentEpoch AI · Aug 2026

LiveBench Math

Kimi K2.7 Code

79.6#19/20 open

IndependentLiveBench · Jun 2026

GLM 5.3

87.9#9/20 open

IndependentLiveBench · Jun 2026

SciCode

Kimi K2.7 Code

47.8%#21/72 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

59.0%#4/72 open

Lab-reportedEpoch AI · Aug 2026

SimpleQA

Kimi K2.7 Code

36.5%#10/19 open

IndependentEpoch AI · Jun 2026

GLM 5.3

41.0%#7/19 open

IndependentEpoch AI · Aug 2026

FrontierMath Tier 4

Kimi K2.7 Code

12.2%#13/15 open

IndependentEpoch AI · Jun 2026

GLM 5.3

29.3%#5/15 open

IndependentEpoch AI · Aug 2026

WeirdML

Kimi K2.7 Code

54.1%#8/47 open

IndependentEpoch AI · Jun 2026

GLM 5.3

75.4%#2/47 open

IndependentEpoch AI · Aug 2026

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

DeepSWE

Kimi K2.7 Code

30.5%#5/5 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

69.0%#1/5 open

Lab-reportedEpoch AI · Aug 2026

FrontierCode

Kimi K2.7 Code

30.1%#6/14 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

40.1%#3/14 open

Lab-reportedEpoch AI · Aug 2026

ALE-Bench

Kimi K2.7 Code

886.2#20/48 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

1317.4#6/48 open

Lab-reportedEpoch AI · Aug 2026

APEX-Agents

Kimi K2.7 Code

37.6%#14/20 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

56.6%#2/20 open

Lab-reportedEpoch AI · Aug 2026

Chess Puzzles

Kimi K2.7 Code

14.0%#16/16 open

IndependentEpoch AI · Jun 2026

GLM 5.3

37.0%#5/16 open

IndependentEpoch AI · Aug 2026

CritPt

Kimi K2.7 Code

10.0%#16/84 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

19.1%#7/84 open

Lab-reportedEpoch AI · Aug 2026

Vending-Bench 2

Kimi K2.7 Code

5082.9#6/17 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.3

8163.6#2/17 open

Lab-reportedEpoch AI · Aug 2026

LMArena WebDev

Kimi K2.7 Code

1473.5#21/55 open

ArenaLMArena · Oct 2026

GLM 5.3

1622.8#7/55 open

ArenaLMArena · Oct 2026

Only Kimi K2.7 Code (3)

Only GLM 5.3 (14)

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 5.3

Q2_K

Kimi K2.7 Code

440 GB~436.4 GB file

32K 439 GB · 128K 446 GB

GLM 5.3

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 5.3

371 GB~367.3 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 5.3

456 GB~452.0 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 5.3

541 GB~536.8 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 5.3

626 GB~621.5 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 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

8 more quants

IQ2_XXS

Kimi K2.7 Code

286 GB317.8 GB file

32K 285 GB · 128K 292 GB

GLM 5.3

not listed

IQ2_S

Kimi K2.7 Code

325 GB334.8 GB file

32K 324 GB · 128K 330 GB

GLM 5.3

not listed

IQ2_M

Kimi K2.7 Code

350 GB318.0 GB file

32K 349 GB · 128K 356 GB

GLM 5.3

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 5.3

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 5.3

not listed

Q3_K_L

Kimi K2.7 Code

530 GB493.9 GB file

32K 529 GB · 128K 536 GB

GLM 5.3

not listed

IQ4_XS

Kimi K2.7 Code

556 GB495.1 GB file

32K 555 GB · 128K 561 GB

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

BF16

Kimi K2.7 Code

2058 GB~2053.8 GB file

32K 2056 GB · 128K 2063 GB

GLM 5.3

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 5.3

Ollama · Q4_K_M

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

All ways to run GLM 5.3 →

Specifications

Specifications of Kimi K2.7 Code and GLM 5.3
Spec	Kimi K2.7 Code	GLM 5.3
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	Other
Released	Jun 2026	Aug 2026

Frequently Asked Questions

Which is better, Kimi K2.7 Code or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 118.1; neither fits 24 GB. Choose Kimi K2.7 Code for also does vision, code; choose GLM 5.3 for higher llmrun Score and stronger at coding.

Which needs less VRAM, Kimi K2.7 Code or GLM 5.3?

At Q4_K_M, Kimi K2.7 Code requires 620.0 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 Kimi K2.7 Code or GLM 5.3 on a 16 GB GPU?

Kimi K2.7 Code does not fit (smallest quant needs 283.8 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).

Which has a longer context window, Kimi K2.7 Code or GLM 5.3?

Kimi K2.7 Code supports 262,144 tokens and GLM 5.3 supports 1,048,576 tokens.