llmrun

Kimi K2.5 vs GLM 5.3

GLM 5.3 leads llmrun Score 130.1 to 113.9; neither fits 24 GB.

Run GLM 5.3 in the cloud →

Model A · Moonshot AI

Kimi K2.5
113.9llmrun Score

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

VisionFunctions

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

ChatFunctions

Which should you choose?

Choose Kimi K2.5 if you want…

  • Also does vision

    GLM 5.3 doesn't list it

Choose GLM 5.3 if you want…

  • Higher llmrun Score

    130.1 vs 113.9

  • Stronger at agents

    133.5 vs 110.4

  • Stronger at coding

    129.9 vs 110.4

  • Ahead on the benchmarks

    7 of 8 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%.

8 GB

RTX 4060 · 8 GB tier

Kimi K2.5

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 K2.5

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 K2.5

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 K2.5

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 K2.5

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 K2.5

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 K2.5

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 K2.5

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 K2.5

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

Overall

Kimi K2.5

113.9111–117

GLM 5.3

130.1128–132

Coding

Kimi K2.5

110.4103–118

GLM 5.3

129.9124–136

Agents

Kimi K2.5

110.4104–117

GLM 5.3

133.5130–137

Math

Kimi K2.5

no data

GLM 5.3

128.5126–131

Science

Kimi K2.5

116.7107–126

GLM 5.3

130.6118–143

Reasoning

Kimi K2.5

114.7111–118

GLM 5.3

130.1124–136

Kimi K2.5 · #25 of 106 open models · #21 of 102 that fit ≤640 GB

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

Benchmarks

8 shared boards: Kimi K2.5 leads 1, GLM 5.3 leads 7 · Benchmarks imported Nov 2026

Kimi K2.5

87.6%#19/100 open

IndependentEpoch AI · Jan 2026

GLM 5.3

90.9%#8/100 open

IndependentEpoch AI · Aug 2026

Kimi K2.5

92.2%#13/88 open

IndependentEpoch AI · Jan 2026

GLM 5.3

91.1%#15/88 open

IndependentEpoch AI · Aug 2026

Kimi K2.5

49.0%#20/72 open

Lab-reportedEpoch AI · Jan 2026

GLM 5.3

59.0%#4/72 open

Lab-reportedEpoch AI · Aug 2026

Kimi K2.5

34.3%#12/19 open

IndependentEpoch AI · Jan 2026

GLM 5.3

41.0%#7/19 open

IndependentEpoch AI · Aug 2026

Kimi K2.5

45.6%#15/47 open

IndependentEpoch AI · Jan 2026

GLM 5.3

75.4%#2/47 open

IndependentEpoch AI · Aug 2026

Kimi K2.5

821.6#21/48 open

Lab-reportedEpoch AI · Jan 2026

GLM 5.3

1317.4#6/48 open

Lab-reportedEpoch AI · Aug 2026

Kimi K2.5

3.1%#27/84 open

Lab-reportedEpoch AI · Jan 2026

GLM 5.3

19.1%#7/84 open

Lab-reportedEpoch AI · Aug 2026

Kimi K2.5

1198.5#11/17 open

Lab-reportedEpoch AI · Jan 2026

GLM 5.3

8163.6#2/17 open

Lab-reportedEpoch AI · Aug 2026

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

Kimi K2.5

1449.7#15/188 open

ArenaLMArena · Oct 2026

GLM 5.3

1480.6#2/188 open

ArenaLMArena · Oct 2026

Kimi K2.5

1436.2#24/55 open

ArenaLMArena · Oct 2026

GLM 5.3

1622.8#7/55 open

ArenaLMArena · Oct 2026

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 K2.5

440 GB373.8 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_S

Kimi K2.5

453 GB443.2 GB file

32K 452 GB · 128K 459 GB

GLM 5.3

not listed

Q3_K_M

Kimi K2.5

504 GB489.8 GB file

32K 503 GB · 128K 510 GB

GLM 5.3

371 GB~367.3 GB file

32K 370 GB · 128K 379 GB

Q4_0

Kimi K2.5

517 GB581.2 GB file

32K 516 GB · 128K 523 GB

GLM 5.3

not listed

Q4_K_M

Kimi K2.5

620 GB621.2 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 K2.5

736 GB728.7 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 K2.5

851 GB842.9 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 K2.5

1031 GB1091.1 GB file

32K 1029 GB · 128K 1036 GB

GLM 5.3

758 GB801.4 GB file

32K 757 GB · 128K 765 GB

16 more quants

IQ2_XXS

Kimi K2.5

286 GB326.7 GB file

32K 285 GB · 128K 292 GB

GLM 5.3

not listed

IQ2_XS

Kimi K2.5

312 GB283.1 GB file

32K 311 GB · 128K 318 GB

GLM 5.3

not listed

IQ2_S

Kimi K2.5

325 GB283.8 GB file

32K 324 GB · 128K 330 GB

GLM 5.3

not listed

IQ2_M

Kimi K2.5

350 GB345.2 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 K2.5

402 GB414.8 GB file

32K 401 GB · 128K 407 GB

GLM 5.3

296 GB281.7 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

Kimi K2.5

427 GB420.1 GB file

32K 426 GB · 128K 433 GB

GLM 5.3

not listed

IQ3_S

Kimi K2.5

440 GB405.3 GB file

32K 439 GB · 128K 446 GB

GLM 5.3

not listed

IQ3_M

Kimi K2.5

466 GB466.9 GB file

32K 465 GB · 128K 472 GB

GLM 5.3

not listed

Q3_K_L

Kimi K2.5

530 GB487.5 GB file

32K 529 GB · 128K 536 GB

GLM 5.3

not listed

IQ4_XS

Kimi K2.5

556 GB547.2 GB file

32K 555 GB · 128K 561 GB

GLM 5.3

409 GB365.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

Kimi K2.5

582 GB579.1 GB file

32K 580 GB · 128K 587 GB

GLM 5.3

not listed

Q4_1

Kimi K2.5

582 GB642.9 GB file

32K 580 GB · 128K 587 GB

GLM 5.3

not listed

Q4_K_S

Kimi K2.5

582 GB583.3 GB file

32K 580 GB · 128K 587 GB

GLM 5.3

not listed

Q4_K_L

Kimi K2.5

633 GB581.2 GB file

32K 632 GB · 128K 638 GB

GLM 5.3

not listed

Q5_K_S

Kimi K2.5

710 GB707.0 GB file

32K 709 GB · 128K 715 GB

GLM 5.3

not listed

BF16

Kimi K2.5

2058 GB2053.2 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

Specifications

Specifications of Kimi K2.5 and GLM 5.3
SpecKimi K2.5GLM 5.3
PublisherMoonshot AIZ.ai
Parameters1026.9B753.3B
Active parameters33B per token42B per token
ArchitectureKimiK25ForConditionalGenerationGlmMoeDsaForCausalLM
Context256K tokens1M tokens
ModalitiesVision, Function-callingChat, Function-calling
LicenseOtherOther
ReleasedJan 2026Aug 2026

Frequently Asked Questions

Which is better, Kimi K2.5 or GLM 5.3?

GLM 5.3 leads llmrun Score 130.1 to 113.9; neither fits 24 GB. Choose Kimi K2.5 for also does vision; choose GLM 5.3 for higher llmrun Score and stronger at agents.

Which needs less VRAM, Kimi K2.5 or GLM 5.3?

At Q4_K_M, Kimi K2.5 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 K2.5 or GLM 5.3 on a 16 GB GPU?

Kimi K2.5 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 K2.5 or GLM 5.3?

Kimi K2.5 supports 262,144 tokens and GLM 5.3 supports 1,048,576 tokens.

Kimi K2.5 vs GLM 5.3 — VRAM & GPU Comparison | llmrun