llmrun

Kimi K2.7 Code vs GLM 5.1

Kimi K2.7 Code and GLM 5.1 match in llmrun Score, with values of 118.1 versus 117.8; 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 5.1
117.8llmrun Score

753.9B · 42.4B active · 198K context · MIT · Apr 2026

ChatFunctions

Which should you choose?

Choose Kimi K2.7 Code if you want…

  • Also does vision, code

    GLM 5.1 doesn't list it

Choose GLM 5.1 if you want…

  • Lighter on memory

    456.5 vs 620.0 GB at Q4_K_M

  • Also does chat

    Kimi K2.7 Code doesn't list it

  • More permissive license

    MIT vs Other

On your hardware

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

8 GB

RTX 4060 · 8 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

24 GBreference

RTX 4090 · 24 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

32 GB

RTX 5090 · 32 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

48 GB

RTX A6000 · 48 GB tier

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 32 GB

Mac Mini M4 · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 128 GB

Mac Studio M4 Max · Macs

Kimi K2.7 Code

Doesn't fit

smallest quant needs 283.8 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 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

Overall

Kimi K2.7 Code

118.1115–121

GLM 5.1

117.8115–121

Coding

Kimi K2.7 Code

114.8110–120

GLM 5.1

114.5107–122

Agents

Kimi K2.7 Code

118.7112–125

GLM 5.1

122.7116–129

Math

Kimi K2.7 Code

120.7116–125

GLM 5.1

117.4113–122

Science

Kimi K2.7 Code

117.7107–128

GLM 5.1

116.8106–127

Reasoning

Kimi K2.7 Code

115.4106–125

GLM 5.1

115.6105–126

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

GLM 5.1 · #15 of 100 open models · #13 of 96 that fit ≤512 GB

Benchmarks

12 shared boards: Kimi K2.7 Code leads 6, GLM 5.1 leads 5 · Benchmarks imported Oct 2026

GPQA Diamond

Kimi K2.7 Code

87.9%#15/98 open

IndependentEpoch AI · Jun 2026

GLM 5.1

89.9%#10/98 open

IndependentEpoch AI · Apr 2026

AIME 2024/2025

Kimi K2.7 Code

95.6%#7/86 open

IndependentEpoch AI · Jun 2026

GLM 5.1

93.3%#10/86 open

IndependentEpoch AI · Apr 2026

FrontierMath

Kimi K2.7 Code

54.0%#10/17 open

IndependentEpoch AI · Jun 2026

GLM 5.1

36.8%#13/17 open

IndependentEpoch AI · Apr 2026

SciCode

Kimi K2.7 Code

47.8%#16/66 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.1

44.8%#25/66 open

Lab-reportedEpoch AI · Apr 2026

SimpleQA

Kimi K2.7 Code

36.5%#9/17 open

IndependentEpoch AI · Jun 2026

GLM 5.1

34.0%#13/17 open

IndependentEpoch AI · Apr 2026

SimpleBench

Kimi K2.7 Code

57.9%#4/25 open

IndependentEpoch AI · Jun 2026

GLM 5.1

55.1%#5/25 open

IndependentEpoch AI · Apr 2026

WeirdML

Kimi K2.7 Code

54.1%#8/46 open

IndependentEpoch AI · Jun 2026

GLM 5.1

57.1%#6/46 open

IndependentEpoch AI · Apr 2026

ALE-Bench

Kimi K2.7 Code

886.2#16/43 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.1

887.1#15/43 open

Lab-reportedEpoch AI · Apr 2026

APEX-Agents

Kimi K2.7 Code

37.6%#11/16 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.1

40.9%#8/16 open

Lab-reportedEpoch AI · Apr 2026

Chess Puzzles

Kimi K2.7 Code

14.0%#13/14 open

IndependentEpoch AI · Jun 2026

GLM 5.1

20.0%#11/14 open

IndependentEpoch AI · Apr 2026

13 more boards (other shared and single-model boards)
CritPt

Kimi K2.7 Code

10.0%#11/66 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.1

4.6%#17/66 open

Lab-reportedEpoch AI · Apr 2026

Vending-Bench 2

Kimi K2.7 Code

5082.9#6/17 open

Lab-reportedEpoch AI · Jun 2026

GLM 5.1

5634.4#4/17 open

Lab-reportedEpoch AI · Apr 2026

LMArena WebDev

Kimi K2.7 Code

1473.8#19/52 open

ArenaLMArena · Oct 2026

GLM 5.1

1508.5#15/52 open

ArenaLMArena · Oct 2026

Only GLM 5.1 (3)

VRAM by quantization

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

Q2_K

Kimi K2.7 Code

440 GB~436.4 GB file

32K 439 GB · 128K 446 GB

GLM 5.1

325 GB265.8 GB file

32K 324 GB · 128K 332 GB

Q3_K_S

Kimi K2.7 Code

not listed

GLM 5.1

334 GB313.5 GB file

32K 333 GB · 128K 342 GB

Q3_K_M

Kimi K2.7 Code

504 GB463.6 GB file

32K 503 GB · 128K 510 GB

GLM 5.1

372 GB338.4 GB file

32K 371 GB · 128K 380 GB

Q4_0

Kimi K2.7 Code

not listed

GLM 5.1

381 GB427.6 GB file

32K 380 GB · 128K 389 GB

Q4_K_M

Kimi K2.7 Code

620 GB~616.1 GB file

32K 619 GB · 128K 626 GB

GLM 5.1

457 GB464.5 GB file

32K 456 GB · 128K 464 GB

Q5_K_M

Kimi K2.7 Code

736 GB~731.6 GB file

32K 734 GB · 128K 741 GB

GLM 5.1

541 GB558.5 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 5.1

626 GB621.3 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 5.1

758 GB801.3 GB file

32K 757 GB · 128K 766 GB

16 more quants

IQ2_XXS

Kimi K2.7 Code

286 GB317.8 GB file

32K 285 GB · 128K 292 GB

GLM 5.1

212 GB220.6 GB file

32K 211 GB · 128K 219 GB

IQ2_XS

Kimi K2.7 Code

not listed

GLM 5.1

230 GB226.6 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 5.1

240 GB231.4 GB file

32K 239 GB · 128K 248 GB

IQ2_M

Kimi K2.7 Code

350 GB318.0 GB file

32K 349 GB · 128K 356 GB

GLM 5.1

259 GB236.2 GB file

32K 258 GB · 128K 267 GB

IQ3_XXS

Kimi K2.7 Code

402 GB376.9 GB file

32K 401 GB · 128K 407 GB

GLM 5.1

296 GB268.3 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

Kimi K2.7 Code

not listed

GLM 5.1

315 GB343.9 GB file

32K 314 GB · 128K 323 GB

IQ3_S

Kimi K2.7 Code

440 GB418.8 GB file

32K 439 GB · 128K 446 GB

GLM 5.1

325 GB279.6 GB file

32K 324 GB · 128K 332 GB

IQ3_M

Kimi K2.7 Code

not listed

GLM 5.1

343 GB360.3 GB file

32K 342 GB · 128K 351 GB

Q3_K_L

Kimi K2.7 Code

530 GB493.9 GB file

32K 529 GB · 128K 536 GB

GLM 5.1

391 GB358.9 GB file

32K 390 GB · 128K 398 GB

IQ4_XS

Kimi K2.7 Code

556 GB495.1 GB file

32K 555 GB · 128K 561 GB

GLM 5.1

409 GB361.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Kimi K2.7 Code

not listed

GLM 5.1

428 GB368.9 GB file

32K 427 GB · 128K 436 GB

Q4_1

Kimi K2.7 Code

not listed

GLM 5.1

428 GB472.7 GB file

32K 427 GB · 128K 436 GB

Q4_K_S

Kimi K2.7 Code

not listed

GLM 5.1

428 GB433.9 GB file

32K 427 GB · 128K 436 GB

Q4_K_L

Kimi K2.7 Code

not listed

GLM 5.1

466 GB460.4 GB file

32K 465 GB · 128K 474 GB

Q5_K_S

Kimi K2.7 Code

not listed

GLM 5.1

523 GB525.9 GB file

32K 522 GB · 128K 530 GB

BF16

Kimi K2.7 Code

2058 GB~2053.8 GB file

32K 2056 GB · 128K 2063 GB

GLM 5.1

1512 GB1508.0 GB file

32K 1511 GB · 128K 1520 GB

How to run each

Specifications

Specifications of Kimi K2.7 Code and GLM 5.1
SpecKimi K2.7 CodeGLM 5.1
PublisherMoonshot AIZ.ai
Parameters1026.9B753.9B
Active parameters33B per token42B per token
ArchitectureKimiK25ForConditionalGenerationGlmMoeDsaForCausalLM
Context256K tokens198K tokens
ModalitiesVision, Code, Function-callingChat, Function-calling
LicenseOtherMIT
ReleasedJun 2026Apr 2026

Frequently Asked Questions

Which is better, Kimi K2.7 Code or GLM 5.1?

Kimi K2.7 Code and GLM 5.1 match in llmrun Score, with values of 118.1 versus 117.8; neither fits 24 GB. Choose Kimi K2.7 Code for also does vision, code; choose GLM 5.1 for lighter on memory and also does chat.

Which needs less VRAM, Kimi K2.7 Code or GLM 5.1?

At Q4_K_M, Kimi K2.7 Code requires 620.0 GB while GLM 5.1 needs 456.5 GB, making GLM 5.1 the easier model to run on your local setup.

Can I run Kimi K2.7 Code or GLM 5.1 on a 16 GB GPU?

Kimi K2.7 Code does not fit (smallest quant needs 283.8 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).

Which has a longer context window, Kimi K2.7 Code or GLM 5.1?

Kimi K2.7 Code supports 262,144 tokens and GLM 5.1 supports 202,752 tokens.

Kimi K2.7 Code vs GLM 5.1 — VRAM & GPU Comparison | llmrun