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.
Model A · DeepSeek
DeepSeek V4 Flash290.9B · 14.1B active · 1M context · MIT · Apr 2026
Model B · Alibaba
Qwen3.8 27B27.8B · 256K context · Apache 2.0 · Aug 2026
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).
Overall
DeepSeek V4 Flash
Qwen3.8 27B
Coding
DeepSeek V4 Flash
Qwen3.8 27B
Math
DeepSeek V4 Flash
no data
Qwen3.8 27B
Science
DeepSeek V4 Flash
Qwen3.8 27B
Reasoning
DeepSeek V4 Flash
Qwen3.8 27B
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)
- SimpleBench46.3%
- WeirdML45.6%
- ALE-Bench678.2
Only Qwen3.8 27B (5)
- ARC-AGI-242.4%
- ARC-AGI87.5%
- APEX-Agents47.5%
- Surface Evolver Bench45.0%
- ProofBench16.0%
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
DeepSeek V4 Flash
Ollama · Q4_K_M
ollama run hf.co/teamblobfish/DeepSeek-V4-Flash-GGUF:Q4_K_MQwen3.8 27B
Ollama · Q4_K_M
ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M| Spec | DeepSeek V4 Flash | Qwen3.8 27B |
|---|---|---|
| Publisher | DeepSeek | Alibaba |
| Parameters | 290.9B | 27.8B |
| Active parameters | 14B per token | — |
| Architecture | DeepseekV4ForCausalLM | Qwen3_5ForConditionalGeneration |
| Context | 1M tokens | 256K tokens |
| Modalities | Chat | Vision, Function-calling |
| License | MIT | Apache 2.0 |
| Released | Apr 2026 | Aug 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.