DeepSeek R1 0528 vs Qwen3.8 27B

Qwen3.8 27B leads llmrun Score 121.5 to 103.7; only Qwen3.8 27B fits 24 GB (Q4_K_M); DeepSeek R1 0528 needs 189.7 GB even at its smallest quant.

Model A · DeepSeek

DeepSeek R1 0528

103.7llmrun Score

684.5B · 40.1B active · 160K context · MIT · May 2025

ChatReasoningFunctions

Model B · Alibaba

Qwen3.8 27B

121.5llmrun Score

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

VisionFunctions

Which should you choose?

Choose DeepSeek R1 0528 if you want…

Also does chat, reasoning
Qwen3.8 27B doesn't list it

Choose Qwen3.8 27B if you want…

Higher llmrun Score
121.5 vs 103.7
Stronger at reasoning
124.1 vs 100.0
Ahead on the benchmarks
3 of 3 shared boards
Fits a 12 GB GPU
IQ3_XXS · 12 GB; DeepSeek R1 0528 needs 189.7 GB at its smallest quant
Fits a Mac 32 GB
Q4_K_M · 17.9 GB; DeepSeek R1 0528 needs 189.7 GB at its smallest quant
Lighter on memory
17.4 vs 414.6 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%.

MemoryDeepSeek R1 0528Qwen3.8 27B

8 GB

RTX 4060 · 8 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Doesn't fit

smallest quant needs 8.8 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

IQ3_XXS · ~20 tok/s

12 GB · up to 16Kfits

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Q3_K_L · ~19 tok/s

15.4 GB · up to 16Kfits

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Q4_K_M · ~38 tok/s

17.9 GB · up to 64Kfits

32 GB

RTX 5090 · 32 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Q4_K_M · ~67 tok/s

17.9 GB · up to 256Kfits

48 GB

RTX A6000 · 48 GB tier

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Q4_K_M · ~29 tok/s

17.9 GB · up to 256Kfits

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek R1 0528

Doesn't fit

smallest quant needs 189.7 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 R1 0528

Doesn't fit

smallest quant needs 189.7 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 R1 0528

Doesn't fit

smallest quant needs 189.7 GB

Qwen3.8 27B

Q4_K_M · ~22 tok/s

17.9 GB · up to 256Kfits

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

DeepSeek R1 0528 Qwen3.8 27B

Overall

DeepSeek R1 0528

103.7101–106

Qwen3.8 27B

121.5119–124

Coding

DeepSeek R1 0528

107.3102–113

Qwen3.8 27B

112.1105–119

Math

DeepSeek R1 0528

no data

Qwen3.8 27B

117.5111–125

Science

DeepSeek R1 0528

no data

Qwen3.8 27B

112.093–131

Reasoning

DeepSeek R1 0528

100.094–106

Qwen3.8 27B

124.1121–127

DeepSeek R1 0528 · #40 of 92 open models · #37 of 88 that fit ≤512 GB

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

Benchmarks

3 shared boards: DeepSeek R1 0528 leads 0, Qwen3.8 27B leads 3 · Benchmarks imported Oct 2026

BoardDeepSeek R1 0528Qwen3.8 27B

LMArena Text

DeepSeek R1 0528

1421.4#33/186 open

ArenaLMArena · Oct 2026

Qwen3.8 27B

1438.1#22/186 open

ArenaLMArena · Oct 2026

ARC-AGI-2

DeepSeek R1 0528

1.1%#15/18 open

IndependentEpoch AI · May 2025

Qwen3.8 27B

42.4%#5/18 open

IndependentEpoch AI · Aug 2026

ARC-AGI

DeepSeek R1 0528

21.2%#13/18 open

IndependentEpoch AI · May 2025

Qwen3.8 27B

87.5%#5/18 open

IndependentEpoch AI · Aug 2026

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

Only DeepSeek R1 0528 (9)

Only Qwen3.8 27B (11)

VRAM by quantization

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

QuantDeepSeek R1 0528Qwen3.8 27B

Q2_K

DeepSeek R1 0528

295 GB237.8 GB file

32K 294 GB · 128K 300 GB

Qwen3.8 27B

12.6 GB10.8 GB file

32K 13.9 GB · 128K 19.3 GB

Q3_K_S

DeepSeek R1 0528

303 GB293.4 GB file

32K 302 GB · 128K 309 GB

Qwen3.8 27B

12.9 GB12.7 GB file

32K 14.2 GB · 128K 19.6 GB

Q3_K_M

DeepSeek R1 0528

338 GB307.9 GB file

32K 336 GB · 128K 343 GB

Qwen3.8 27B

14.3 GB13.4 GB file

32K 15.6 GB · 128K 21.0 GB

Q4_0

DeepSeek R1 0528

346 GB386.4 GB file

32K 345 GB · 128K 352 GB

Qwen3.8 27B

14.6 GB~13.9 GB file

32K 16.0 GB · 128K 21.4 GB

Q4_K_M

DeepSeek R1 0528

415 GB409.2 GB file

32K 413 GB · 128K 420 GB

Qwen3.8 27B

17.4 GB16.5 GB file

32K 18.8 GB · 128K 24.1 GB

Q5_K_M

DeepSeek R1 0528

492 GB478.3 GB file

32K 490 GB · 128K 497 GB

Qwen3.8 27B

20.5 GB19.8 GB file

32K 21.9 GB · 128K 27.3 GB

Q6_K

DeepSeek R1 0528

569 GB552.4 GB file

32K 567 GB · 128K 574 GB

Qwen3.8 27B

23.7 GB22.0 GB file

32K 25.0 GB · 128K 30.4 GB

Q8_0

DeepSeek R1 0528

688 GB713.3 GB file

32K 687 GB · 128K 694 GB

Qwen3.8 27B

28.5 GB29.0 GB file

32K 29.9 GB · 128K 35.2 GB

17 more quants

IQ2_XXS

DeepSeek R1 0528

192 GB164.1 GB file

32K 191 GB · 128K 198 GB

Qwen3.8 27B

8.4 GB7.3 GB file

32K 9.7 GB · 128K 15.1 GB

IQ2_XS

DeepSeek R1 0528

209 GB188.4 GB file

32K 208 GB · 128K 215 GB

Qwen3.8 27B

9.1 GB9.1 GB file

32K 10.4 GB · 128K 15.8 GB

IQ2_S

DeepSeek R1 0528

218 GB189.6 GB file

32K 217 GB · 128K 223 GB

Qwen3.8 27B

9.4 GB8.4 GB file

32K 10.8 GB · 128K 16.1 GB

IQ2_M

DeepSeek R1 0528

235 GB215.0 GB file

32K 234 GB · 128K 241 GB

Qwen3.8 27B

10.1 GB10.5 GB file

32K 11.5 GB · 128K 16.8 GB

IQ3_XXS

DeepSeek R1 0528

269 GB267.6 GB file

32K 268 GB · 128K 275 GB

Qwen3.8 27B

11.5 GB10.9 GB file

32K 12.9 GB · 128K 18.2 GB

IQ3_XS

DeepSeek R1 0528

286 GB277.1 GB file

32K 285 GB · 128K 292 GB

Qwen3.8 27B

12.2 GB10.4 GB file

32K 13.6 GB · 128K 18.9 GB

IQ3_S

DeepSeek R1 0528

not listed

Qwen3.8 27B

12.6 GB12.0 GB file

32K 13.9 GB · 128K 19.3 GB

IQ3_M

DeepSeek R1 0528

312 GB307.9 GB file

32K 311 GB · 128K 318 GB

Qwen3.8 27B

13.3 GB14.9 GB file

32K 14.6 GB · 128K 20.0 GB

Q3_K_L

DeepSeek R1 0528

355 GB319.7 GB file

32K 353 GB · 128K 360 GB

Qwen3.8 27B

15.0 GB14.1 GB file

32K 16.3 GB · 128K 21.7 GB

IQ4_XS

DeepSeek R1 0528

372 GB360.0 GB file

32K 371 GB · 128K 377 GB

Qwen3.8 27B

15.7 GB14.3 GB file

32K 17.0 GB · 128K 22.4 GB

IQ4_NL

DeepSeek R1 0528

389 GB380.5 GB file

32K 388 GB · 128K 395 GB

Qwen3.8 27B

16.4 GB17.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_1

DeepSeek R1 0528

389 GB421.0 GB file

32K 388 GB · 128K 395 GB

Qwen3.8 27B

16.4 GB17.5 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_S

DeepSeek R1 0528

389 GB394.2 GB file

32K 388 GB · 128K 395 GB

Qwen3.8 27B

16.4 GB15.4 GB file

32K 17.7 GB · 128K 23.1 GB

Q4_K_L

DeepSeek R1 0528

not listed

Qwen3.8 27B

17.8 GB18.8 GB file

32K 19.1 GB · 128K 24.5 GB

Q5_K_S

DeepSeek R1 0528

475 GB463.0 GB file

32K 473 GB · 128K 480 GB

Qwen3.8 27B

19.9 GB18.7 GB file

32K 21.2 GB · 128K 26.6 GB

Q5_K_L

DeepSeek R1 0528

not listed

Qwen3.8 27B

20.9 GB21.5 GB file

32K 22.2 GB · 128K 27.6 GB

BF16

DeepSeek R1 0528

1373 GB1342.3 GB file

32K 1372 GB · 128K 1379 GB

Qwen3.8 27B

56.3 GB54.7 GB file

32K 57.7 GB · 128K 63.0 GB

How to run each

DeepSeek R1 0528

Ollama · Q4_K_M

$ollama run hf.co/bartowski/deepseek-ai_DeepSeek-R1-0528-GGUF:Q4_K_M

All ways to run DeepSeek R1 0528 →

Qwen3.8 27B

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M

All ways to run Qwen3.8 27B →

Specifications

Specifications of DeepSeek R1 0528 and Qwen3.8 27B
Spec	DeepSeek R1 0528	Qwen3.8 27B
Publisher	DeepSeek	Alibaba
Parameters	684.5B	27.8B
Active parameters	40B per token	—
Architecture	DeepseekV3ForCausalLM	Qwen3_5ForConditionalGeneration
Context	160K tokens	256K tokens
Modalities	Chat, Reasoning, Function-calling	Vision, Function-calling
License	MIT	Apache 2.0
Released	May 2025	Aug 2026

Frequently Asked Questions

Which is better, DeepSeek R1 0528 or Qwen3.8 27B?

Qwen3.8 27B leads llmrun Score 121.5 to 103.7; only Qwen3.8 27B fits 24 GB (Q4_K_M); DeepSeek R1 0528 needs 189.7 GB even at its smallest quant. Choose DeepSeek R1 0528 for also does chat, reasoning; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, DeepSeek R1 0528 or Qwen3.8 27B?

At Q4_K_M, DeepSeek R1 0528 requires 414.6 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 R1 0528 or Qwen3.8 27B on a 16 GB GPU?

DeepSeek R1 0528 does not fit (smallest quant needs 189.7 GB); Qwen3.8 27B fits at Q3_K_L.

Which has a longer context window, DeepSeek R1 0528 or Qwen3.8 27B?

DeepSeek R1 0528 supports 163,840 tokens and Qwen3.8 27B supports 262,144 tokens.