llmrun

DeepSeek V4.1 Flash vs GLM 5.1

DeepSeek V4.1 Flash leads llmrun Score 129.5 to 117.8; neither fits 24 GB.

Model A · DeepSeek

DeepSeek V4.1 Flash
129.5llmrun Score

763.2B · 188B active · 1M context · MIT · Sep 2026

VisionFunctions

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 DeepSeek V4.1 Flash if you want…

  • Higher llmrun Score

    129.5 vs 117.8

  • Stronger at reasoning

    134.0 vs 115.6

  • Stronger at math

    129.0 vs 117.4

  • Ahead on the benchmarks

    8 of 10 shared boards

  • Longer context window

    1M vs 198K tokens

  • Also does vision

    GLM 5.1 doesn't list it

Choose GLM 5.1 if you want…

  • Also does chat

    DeepSeek V4.1 Flash doesn't list it

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

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 GB

GLM 5.1

Doesn't fit

smallest quant needs 209.1 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash

Doesn't fit

smallest quant needs 210.4 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

DeepSeek V4.1 Flash

129.5128–131

GLM 5.1

117.8115–121

Coding

DeepSeek V4.1 Flash

122.2118–127

GLM 5.1

114.5107–122

Agents

DeepSeek V4.1 Flash

127.9123–133

GLM 5.1

122.7116–129

Math

DeepSeek V4.1 Flash

129.0127–132

GLM 5.1

117.4113–122

Science

DeepSeek V4.1 Flash

122.9111–135

GLM 5.1

116.8106–127

Reasoning

DeepSeek V4.1 Flash

134.0130–138

GLM 5.1

115.6105–126

DeepSeek V4.1 Flash · #5 of 100 open models · #4 of 96 that fit ≤512 GB

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

Benchmarks

10 shared boards: DeepSeek V4.1 Flash leads 8, GLM 5.1 leads 1 · Benchmarks imported Oct 2026

GPQA Diamond

DeepSeek V4.1 Flash

89.8%#11/98 open

IndependentEpoch AI · Sep 2026

GLM 5.1

89.9%#10/98 open

IndependentEpoch AI · Apr 2026

AIME 2024/2025

DeepSeek V4.1 Flash

98.3%#2/86 open

IndependentEpoch AI · Sep 2026

GLM 5.1

93.3%#10/86 open

IndependentEpoch AI · Apr 2026

FrontierMath

DeepSeek V4.1 Flash

67.4%#4/17 open

IndependentEpoch AI · Sep 2026

GLM 5.1

36.8%#13/17 open

IndependentEpoch AI · Apr 2026

SciCode

DeepSeek V4.1 Flash

51.8%#5/66 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.1

44.8%#25/66 open

Lab-reportedEpoch AI · Apr 2026

SimpleQA

DeepSeek V4.1 Flash

42.9%#5/17 open

IndependentEpoch AI · Sep 2026

GLM 5.1

34.0%#13/17 open

IndependentEpoch AI · Apr 2026

ALE-Bench

DeepSeek V4.1 Flash

1092.3#8/43 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.1

887.1#15/43 open

Lab-reportedEpoch AI · Apr 2026

APEX-Agents

DeepSeek V4.1 Flash

39.5%#9/16 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.1

40.9%#8/16 open

Lab-reportedEpoch AI · Apr 2026

Chess Puzzles

DeepSeek V4.1 Flash

48.0%#1/14 open

IndependentEpoch AI · Sep 2026

GLM 5.1

20.0%#11/14 open

IndependentEpoch AI · Apr 2026

CritPt

DeepSeek V4.1 Flash

14.3%#8/66 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.1

4.6%#17/66 open

Lab-reportedEpoch AI · Apr 2026

ProofBench

DeepSeek V4.1 Flash

54.0%#6/26 open

Lab-reportedEpoch AI · Sep 2026

GLM 5.1

22.2%#10/26 open

Lab-reportedEpoch AI · Apr 2026

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

DeepSeek V4.1 Flash

1474.6#5/187 open

ArenaLMArena · Oct 2026

GLM 5.1

1465.2#8/187 open

ArenaLMArena · Oct 2026

LMArena WebDev

DeepSeek V4.1 Flash

1618.4#7/52 open

ArenaLMArena · Oct 2026

GLM 5.1

1508.5#15/52 open

ArenaLMArena · Oct 2026

Only GLM 5.1 (4)

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

DeepSeek V4.1 Flash

325 GB264.5 GB file

32K 325 GB · 128K 326 GB

GLM 5.1

325 GB265.8 GB file

32K 324 GB · 128K 332 GB

Q3_K_S

DeepSeek V4.1 Flash

not listed

GLM 5.1

334 GB313.5 GB file

32K 333 GB · 128K 342 GB

Q3_K_M

DeepSeek V4.1 Flash

372 GB347.3 GB file

32K 373 GB · 128K 374 GB

GLM 5.1

372 GB338.4 GB file

32K 371 GB · 128K 380 GB

Q4_0

DeepSeek V4.1 Flash

not listed

GLM 5.1

381 GB427.6 GB file

32K 380 GB · 128K 389 GB

Q4_K_M

DeepSeek V4.1 Flash

458 GB444.7 GB file

32K 459 GB · 128K 460 GB

GLM 5.1

457 GB464.5 GB file

32K 456 GB · 128K 464 GB

Q5_K_M

DeepSeek V4.1 Flash

544 GB~543.8 GB file

32K 545 GB · 128K 546 GB

GLM 5.1

541 GB558.5 GB file

32K 540 GB · 128K 549 GB

Q6_K

DeepSeek V4.1 Flash

630 GB~629.6 GB file

32K 630 GB · 128K 632 GB

GLM 5.1

626 GB621.3 GB file

32K 625 GB · 128K 634 GB

Q8_0

DeepSeek V4.1 Flash

764 GB508.0 GB file

32K 764 GB · 128K 765 GB

GLM 5.1

758 GB801.3 GB file

32K 757 GB · 128K 766 GB

16 more quants

IQ2_XXS

DeepSeek V4.1 Flash

210 GB~209.9 GB file

32K 211 GB · 128K 212 GB

GLM 5.1

212 GB220.6 GB file

32K 211 GB · 128K 219 GB

IQ2_XS

DeepSeek V4.1 Flash

not listed

GLM 5.1

230 GB226.6 GB file

32K 229 GB · 128K 238 GB

IQ2_S

DeepSeek V4.1 Flash

not listed

GLM 5.1

240 GB231.4 GB file

32K 239 GB · 128K 248 GB

IQ2_M

DeepSeek V4.1 Flash

not listed

GLM 5.1

259 GB236.2 GB file

32K 258 GB · 128K 267 GB

IQ3_XXS

DeepSeek V4.1 Flash

not listed

GLM 5.1

296 GB268.3 GB file

32K 295 GB · 128K 304 GB

IQ3_XS

DeepSeek V4.1 Flash

315 GB434.0 GB file

32K 316 GB · 128K 317 GB

GLM 5.1

315 GB343.9 GB file

32K 314 GB · 128K 323 GB

IQ3_S

DeepSeek V4.1 Flash

not listed

GLM 5.1

325 GB279.6 GB file

32K 324 GB · 128K 332 GB

IQ3_M

DeepSeek V4.1 Flash

not listed

GLM 5.1

343 GB360.3 GB file

32K 342 GB · 128K 351 GB

Q3_K_L

DeepSeek V4.1 Flash

not listed

GLM 5.1

391 GB358.9 GB file

32K 390 GB · 128K 398 GB

IQ4_XS

DeepSeek V4.1 Flash

not listed

GLM 5.1

409 GB361.3 GB file

32K 408 GB · 128K 417 GB

IQ4_NL

DeepSeek V4.1 Flash

not listed

GLM 5.1

428 GB368.9 GB file

32K 427 GB · 128K 436 GB

Q4_1

DeepSeek V4.1 Flash

not listed

GLM 5.1

428 GB472.7 GB file

32K 427 GB · 128K 436 GB

Q4_K_S

DeepSeek V4.1 Flash

not listed

GLM 5.1

428 GB433.9 GB file

32K 427 GB · 128K 436 GB

Q4_K_L

DeepSeek V4.1 Flash

not listed

GLM 5.1

466 GB460.4 GB file

32K 465 GB · 128K 474 GB

Q5_K_S

DeepSeek V4.1 Flash

not listed

GLM 5.1

523 GB525.9 GB file

32K 522 GB · 128K 530 GB

BF16

DeepSeek V4.1 Flash

1527 GB~1526.4 GB file

32K 1527 GB · 128K 1528 GB

GLM 5.1

1512 GB1508.0 GB file

32K 1511 GB · 128K 1520 GB

How to run each

Specifications

Specifications of DeepSeek V4.1 Flash and GLM 5.1
SpecDeepSeek V4.1 FlashGLM 5.1
PublisherDeepSeekZ.ai
Parameters763.2B753.9B
Active parameters188B per token42B per token
ArchitectureDeepseekV41ForCausalLMGlmMoeDsaForCausalLM
Context1M tokens198K tokens
ModalitiesVision, Function-callingChat, Function-calling
LicenseMITMIT
ReleasedSep 2026Apr 2026

Frequently Asked Questions

Which is better, DeepSeek V4.1 Flash or GLM 5.1?

DeepSeek V4.1 Flash leads llmrun Score 129.5 to 117.8; neither fits 24 GB. Choose DeepSeek V4.1 Flash for higher llmrun Score and stronger at reasoning; choose GLM 5.1 for also does chat.

Which needs less VRAM, DeepSeek V4.1 Flash or GLM 5.1?

At Q4_K_M, DeepSeek V4.1 Flash requires 458.3 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 DeepSeek V4.1 Flash or GLM 5.1 on a 16 GB GPU?

DeepSeek V4.1 Flash does not fit (smallest quant needs 210.4 GB); GLM 5.1 does not fit (smallest quant needs 209.1 GB).

Which has a longer context window, DeepSeek V4.1 Flash or GLM 5.1?

DeepSeek V4.1 Flash supports 1,048,576 tokens and GLM 5.1 supports 202,752 tokens.

DeepSeek V4.1 Flash vs GLM 5.1 — VRAM & GPU Comparison | llmrun