llmrun

DeepSeek V4 Flash vs Qwen3.8 27B

Qwen3.8 27B leads llmrun Score 121.5 to 109.3; only Qwen3.8 27B fits 24 GB (Q4_K_M); DeepSeek V4 Flash needs 80.5 GB even at its smallest quant.

290.9B · 14.1B active · 1M context · MIT · Apr 2026

Chat

27.8B · 256K context · Apache 2.0 · Aug 2026

VisionFunctions

Which should you choose?

Choose DeepSeek V4 Flash if you want…

  • Longer context window

    1M vs 256K tokens

  • Also does chat

    Qwen3.8 27B doesn't list it

Choose Qwen3.8 27B if you want…

  • Higher llmrun Score

    121.5 vs 109.3

  • Stronger at reasoning

    124.1 vs 111.8

  • Ahead on the benchmarks

    7 of 9 shared boards

  • Fits a 12 GB GPU

    IQ3_XXS · 12 GB; DeepSeek V4 Flash needs 80.5 GB at its smallest quant

  • Fits a Mac 32 GB

    Q4_K_M · 17.9 GB; DeepSeek V4 Flash needs 80.5 GB at its smallest quant

  • Lighter on memory

    17.4 vs 174.9 GB at Q4_K_M

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 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Doesn't fit

smallest quant needs 8.8 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

IQ3_XXS · ~20 tok/s

12 GB · up to 16Kfits

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q3_K_L · ~19 tok/s

15.4 GB · up to 16Kfits

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q4_K_M · ~38 tok/s

17.9 GB · up to 64Kfits

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q4_K_M · ~67 tok/s

17.9 GB · up to 256Kfits

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q4_K_M · ~29 tok/s

17.9 GB · up to 256Kfits

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q4_K_M · ~5 tok/s

17.9 GB · up to 128Kfits

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V4 Flash

Doesn't fit

smallest quant needs 80.5 GB

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kfits

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V4 Flash

IQ3_S · ~41 tok/s

124.1 GB · up to 32K

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kmore headroom

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 Flash

109.3104–114

Qwen3.8 27B

121.5119–124

Coding

DeepSeek V4 Flash

106.699–115

Qwen3.8 27B

112.1105–119

Math

DeepSeek V4 Flash

no data

Qwen3.8 27B

117.5111–125

Science

DeepSeek V4 Flash

111.492–130

Qwen3.8 27B

112.093–131

Reasoning

DeepSeek V4 Flash

111.8105–119

Qwen3.8 27B

124.1121–127

DeepSeek V4 Flash · #26 of 92 open models · #12 of 71 that fit ≤192 GB

Qwen3.8 27B · #10 of 92 open models · #1 of 34 that fit 24 GB

Benchmarks

9 shared boards: DeepSeek V4 Flash leads 1, Qwen3.8 27B leads 7 · Benchmarks imported Oct 2026

DeepSeek V4 Flash

1438.6#21/186 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1438.1#22/186 open

ArenaLMArena · Oct 2026

DeepSeek V4 Flash

69.2#17/19 open

IndependentLiveBench · Jun 2026

Qwen3.8 27B

75.7#9/19 open

IndependentLiveBench · Jun 2026

DeepSeek V4 Flash

70.6#18/19 open

IndependentLiveBench · Jun 2026

Qwen3.8 27B

80.0#11/19 open

IndependentLiveBench · Jun 2026

DeepSeek V4 Flash

1581.5#12/50 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1592.8#10/50 open

ArenaLMArena · Oct 2026

DeepSeek V4 Flash

79.7#17/19 open

IndependentLiveBench · Jun 2026

Qwen3.8 27B

86.2#11/19 open

IndependentLiveBench · Jun 2026

DeepSeek V4 Flash

44.9%#21/65 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.8 27B

46.6%#19/65 open

Lab-reportedEpoch AI · Aug 2026

DeepSeek V4 Flash

7.1%#14/65 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.8 27B

5.4%#15/65 open

Lab-reportedEpoch AI · Aug 2026

DeepSeek V4 Flash

86.4%#14/68 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.8 27B

88.0%#9/68 open

Lab-reportedEpoch AI · Aug 2026

DeepSeek V4 Flash

35.9%#14/54 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.8 27B

41.4%#7/54 open

Lab-reportedEpoch AI · Aug 2026

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

Only DeepSeek V4 Flash (3)

Only Qwen3.8 27B (5)

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 Flash

124 GB107.0 GB file

32K 124 GB · 128K 125 GB

Qwen3.8 27B

12.6 GB10.8 GB file

32K 13.9 GB · 128K 19.3 GB

Q3_K_S

DeepSeek V4 Flash

not listed

Qwen3.8 27B

12.9 GB12.7 GB file

32K 14.2 GB · 128K 19.6 GB

Q3_K_M

DeepSeek V4 Flash

142 GB129.3 GB file

32K 143 GB · 128K 144 GB

Qwen3.8 27B

14.3 GB13.4 GB file

32K 15.6 GB · 128K 21.0 GB

Q4_0

DeepSeek V4 Flash

not listed

Qwen3.8 27B

14.6 GB~13.9 GB file

32K 16.0 GB · 128K 21.4 GB

Q4_K_M

DeepSeek V4 Flash

175 GB174.9 GB file

32K 175 GB · 128K 176 GB

Qwen3.8 27B

17.4 GB16.5 GB file

32K 18.8 GB · 128K 24.1 GB

Q5_K_M

DeepSeek V4 Flash

208 GB~207.3 GB file

32K 208 GB · 128K 209 GB

Qwen3.8 27B

20.5 GB19.8 GB file

32K 21.9 GB · 128K 27.3 GB

Q6_K

DeepSeek V4 Flash

240 GB~240.0 GB file

32K 241 GB · 128K 242 GB

Qwen3.8 27B

23.7 GB22.0 GB file

32K 25.0 GB · 128K 30.4 GB

Q8_0

DeepSeek V4 Flash

291 GB302.3 GB file

32K 292 GB · 128K 293 GB

Qwen3.8 27B

28.5 GB29.0 GB file

32K 29.9 GB · 128K 35.2 GB

18 more quants

IQ2_XXS

DeepSeek V4 Flash

80.3 GB90.9 GB file

32K 80.7 GB · 128K 81.8 GB

Qwen3.8 27B

8.4 GB7.3 GB file

32K 9.7 GB · 128K 15.1 GB

IQ2_XS

DeepSeek V4 Flash

87.6 GB87.0 GB file

32K 88.0 GB · 128K 89.0 GB

Qwen3.8 27B

9.1 GB9.1 GB file

32K 10.4 GB · 128K 15.8 GB

IQ2_S

DeepSeek V4 Flash

91.2 GB88.0 GB file

32K 91.6 GB · 128K 92.7 GB

Qwen3.8 27B

9.4 GB8.4 GB file

32K 10.8 GB · 128K 16.1 GB

IQ2_M

DeepSeek V4 Flash

98.5 GB90.9 GB file

32K 98.9 GB · 128K 99.9 GB

Qwen3.8 27B

10.1 GB10.5 GB file

32K 11.5 GB · 128K 16.8 GB

IQ3_XXS

DeepSeek V4 Flash

113 GB103.0 GB file

32K 113 GB · 128K 114 GB

Qwen3.8 27B

11.5 GB10.9 GB file

32K 12.9 GB · 128K 18.2 GB

Q2_K_S

DeepSeek V4 Flash

117 GB98.6 GB file

32K 117 GB · 128K 118 GB

Qwen3.8 27B

not listed

IQ3_XS

DeepSeek V4 Flash

not listed

Qwen3.8 27B

12.2 GB10.4 GB file

32K 13.6 GB · 128K 18.9 GB

IQ3_S

DeepSeek V4 Flash

124 GB117.3 GB file

32K 124 GB · 128K 125 GB

Qwen3.8 27B

12.6 GB12.0 GB file

32K 13.9 GB · 128K 19.3 GB

IQ3_M

DeepSeek V4 Flash

not listed

Qwen3.8 27B

13.3 GB14.9 GB file

32K 14.6 GB · 128K 20.0 GB

Q3_K_L

DeepSeek V4 Flash

not listed

Qwen3.8 27B

15.0 GB14.1 GB file

32K 16.3 GB · 128K 21.7 GB

IQ4_XS

DeepSeek V4 Flash

157 GB137.9 GB file

32K 157 GB · 128K 158 GB

Qwen3.8 27B

15.7 GB14.3 GB file

32K 17.0 GB · 128K 22.4 GB

IQ4_NL

DeepSeek V4 Flash

164 GB137.9 GB file

32K 164 GB · 128K 165 GB

Qwen3.8 27B

16.4 GB17.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_1

DeepSeek V4 Flash

not listed

Qwen3.8 27B

16.4 GB17.5 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_S

DeepSeek V4 Flash

not listed

Qwen3.8 27B

16.4 GB15.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_L

DeepSeek V4 Flash

not listed

Qwen3.8 27B

17.8 GB18.8 GB file

32K 19.1 GB · 128K 24.5 GB

Q5_K_S

DeepSeek V4 Flash

not listed

Qwen3.8 27B

19.9 GB18.7 GB file

32K 21.2 GB · 128K 26.6 GB

Q5_K_L

DeepSeek V4 Flash

not listed

Qwen3.8 27B

20.9 GB21.5 GB file

32K 22.2 GB · 128K 27.6 GB

BF16

DeepSeek V4 Flash

582 GB~581.9 GB file

32K 583 GB · 128K 584 GB

Qwen3.8 27B

56.3 GB54.7 GB file

32K 57.7 GB · 128K 63.0 GB

How to run each

Specifications

Specifications of DeepSeek V4 Flash and Qwen3.8 27B
SpecDeepSeek V4 FlashQwen3.8 27B
PublisherDeepSeekAlibaba
Parameters290.9B27.8B
Active parameters14B per token—
ArchitectureDeepseekV4ForCausalLMQwen3_5ForConditionalGeneration
Context1M tokens256K tokens
ModalitiesChatVision, Function-calling
LicenseMITApache 2.0
ReleasedApr 2026Aug 2026

Frequently Asked Questions

Which is better, DeepSeek V4 Flash or Qwen3.8 27B?

Qwen3.8 27B leads llmrun Score 121.5 to 109.3; only Qwen3.8 27B fits 24 GB (Q4_K_M); DeepSeek V4 Flash needs 80.5 GB even at its smallest quant. Choose DeepSeek V4 Flash for longer context window and also does chat; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, DeepSeek V4 Flash or Qwen3.8 27B?

At Q4_K_M, DeepSeek V4 Flash requires 174.9 GB while Qwen3.8 27B needs 17.4 GB, making Qwen3.8 27B the easier model to run on your local setup.

Can I run DeepSeek V4 Flash or Qwen3.8 27B on a 16 GB GPU?

DeepSeek V4 Flash does not fit (smallest quant needs 80.5 GB); Qwen3.8 27B fits at Q3_K_L.

Which has a longer context window, DeepSeek V4 Flash or Qwen3.8 27B?

DeepSeek V4 Flash supports 1,048,576 tokens and Qwen3.8 27B supports 262,144 tokens.

DeepSeek V4 Flash vs Qwen3.8 27B — VRAM & GPU Comparison | llmrun