DeepSeek V3.2 Exp vs DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 109.0; neither fits 24 GB.

Run DeepSeek V4.1 Flash 1017 in the cloud →

Model A · DeepSeek

DeepSeek V3.2 Exp

109.0llmrun Score

685.4B · 41B active · 160K context · MIT · Sep 2025

ChatFunctions

Model B · DeepSeek

DeepSeek V4.1 Flash 1017

134.4llmrun Score

763.2B · 16B active · 1M context · MIT · Oct 2026

Vision

Which should you choose?

Choose DeepSeek V3.2 Exp if you want…

Also does chat, function-calling
DeepSeek V4.1 Flash 1017 doesn't list it

Choose DeepSeek V4.1 Flash 1017 if you want…

Higher llmrun Score
134.4 vs 109.0
Stronger at science
134.3 vs 101.2
Stronger at coding
135.1 vs 106.8
Longer context window
1M vs 160K tokens
Also does vision
DeepSeek V3.2 Exp doesn't list it
Newer release
Oct 2026 vs Sep 2025

On your hardware

Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.

MemoryDeepSeek V3.2 ExpDeepSeek V4.1 Flash 1017

8 GB

RTX 4060 · 8 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V3.2 Exp

Doesn't fit

smallest quant needs 292.8 GB

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 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

DeepSeek V3.2 Exp DeepSeek V4.1 Flash 1017

Overall

DeepSeek V3.2 Exp

109.0105–114

DeepSeek V4.1 Flash 1017

134.4132–137

Coding

DeepSeek V3.2 Exp

106.8101–113

DeepSeek V4.1 Flash 1017

135.1127–143

Agents

DeepSeek V3.2 Exp

no data

DeepSeek V4.1 Flash 1017

135.7131–141

Math

DeepSeek V3.2 Exp

no data

DeepSeek V4.1 Flash 1017

132.0129–135

Science

DeepSeek V3.2 Exp

101.280–123

DeepSeek V4.1 Flash 1017

134.3123–146

Reasoning

DeepSeek V3.2 Exp

113.3104–123

DeepSeek V4.1 Flash 1017

137.1133–142

DeepSeek V3.2 Exp · #35 of 106 open models · #31 of 102 that fit ≤512 GB

DeepSeek V4.1 Flash 1017 · #2 of 106 open models · #1 of 102 that fit ≤512 GB

Benchmarks

2 shared boards: DeepSeek V3.2 Exp leads 0, DeepSeek V4.1 Flash 1017 leads 2 · Benchmarks imported Nov 2026

BoardDeepSeek V3.2 ExpDeepSeek V4.1 Flash 1017

SciCode

DeepSeek V3.2 Exp

38.9%#40/72 open

Lab-reportedEpoch AI · Sep 2025

DeepSeek V4.1 Flash 1017

55.9%#7/72 open

Lab-reportedEpoch AI · Oct 2026

CritPt

DeepSeek V3.2 Exp

2.9%#30/84 open

Lab-reportedEpoch AI · Sep 2025

DeepSeek V4.1 Flash 1017

24.0%#3/84 open

Lab-reportedEpoch AI · Oct 2026

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

LMArena WebDev

DeepSeek V3.2 Exp

1271.4#49/55 open

ArenaLMArena · Oct 2026

DeepSeek V4.1 Flash 1017

1665.0#1/55 open

ArenaLMArena · Oct 2026

Only DeepSeek V3.2 Exp (9)

Only DeepSeek V4.1 Flash 1017 (20)

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 V3.2 ExpDeepSeek V4.1 Flash 1017

Q2_K

DeepSeek V3.2 Exp

295 GB~291.3 GB file

32K 294 GB · 128K 301 GB

DeepSeek V4.1 Flash 1017

325 GB264.5 GB file

32K 325 GB · 128K 326 GB

Q3_K_M

DeepSeek V3.2 Exp

338 GB~334.1 GB file

32K 337 GB · 128K 344 GB

DeepSeek V4.1 Flash 1017

372 GB347.3 GB file

32K 373 GB · 128K 374 GB

Q4_K_M

DeepSeek V3.2 Exp

415 GB~411.2 GB file

32K 414 GB · 128K 421 GB

DeepSeek V4.1 Flash 1017

458 GB444.7 GB file

32K 459 GB · 128K 460 GB

Q5_K_M

DeepSeek V3.2 Exp

492 GB~488.4 GB file

32K 491 GB · 128K 498 GB

DeepSeek V4.1 Flash 1017

544 GB~543.8 GB file

32K 545 GB · 128K 546 GB

Q6_K

DeepSeek V3.2 Exp

569 GB~565.5 GB file

32K 568 GB · 128K 575 GB

DeepSeek V4.1 Flash 1017

630 GB~629.6 GB file

32K 630 GB · 128K 632 GB

Q8_0

DeepSeek V3.2 Exp

689 GB~685.4 GB file

32K 688 GB · 128K 695 GB

DeepSeek V4.1 Flash 1017

764 GB~763.2 GB file

32K 764 GB · 128K 765 GB

5 more quants

IQ2_XXS

DeepSeek V3.2 Exp

not listed

DeepSeek V4.1 Flash 1017

210 GB300.5 GB file

32K 211 GB · 128K 212 GB

IQ2_XS

DeepSeek V3.2 Exp

not listed

DeepSeek V4.1 Flash 1017

229 GB~229.0 GB file

32K 230 GB · 128K 231 GB

IQ3_XXS

DeepSeek V3.2 Exp

not listed

DeepSeek V4.1 Flash 1017

296 GB394.7 GB file

32K 296 GB · 128K 298 GB

IQ3_S

DeepSeek V3.2 Exp

not listed

DeepSeek V4.1 Flash 1017

325 GB423.6 GB file

32K 325 GB · 128K 326 GB

BF16

DeepSeek V3.2 Exp

1375 GB~1370.8 GB file

32K 1373 GB · 128K 1380 GB

DeepSeek V4.1 Flash 1017

1527 GB~1526.4 GB file

32K 1527 GB · 128K 1528 GB

How to run each

DeepSeek V3.2 Exp

No local recipe · Q4_K_M

No GGUF repo entry exists for this model yet.

All ways to run DeepSeek V3.2 Exp →

DeepSeek V4.1 Flash 1017

Ollama · Q4_K_M

$ollama run hf.co/mrfakename/DeepSeek-V4.1-Flash-1017-GGUF:Q4_K_M

All ways to run DeepSeek V4.1 Flash 1017 →

Specifications

Specifications of DeepSeek V3.2 Exp and DeepSeek V4.1 Flash 1017
Spec	DeepSeek V3.2 Exp	DeepSeek V4.1 Flash 1017
Publisher	DeepSeek	DeepSeek
Parameters	685.4B	763.2B
Active parameters	41B per token	16B per token
Architecture	DeepseekV32ForCausalLM	DeepseekV41ForCausalLM
Context	160K tokens	1M tokens
Modalities	Chat, Function-calling	Vision
License	MIT	MIT
Released	Sep 2025	Oct 2026

Frequently Asked Questions

Which is better, DeepSeek V3.2 Exp or DeepSeek V4.1 Flash 1017?

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 109.0; neither fits 24 GB. Choose DeepSeek V3.2 Exp for also does chat, function-calling; choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at science.

Which needs less VRAM, DeepSeek V3.2 Exp or DeepSeek V4.1 Flash 1017?

At Q4_K_M, DeepSeek V3.2 Exp requires 415.1 GB while DeepSeek V4.1 Flash 1017 needs 458.3 GB, making DeepSeek V3.2 Exp the easier model to run on your local setup.

Can I run DeepSeek V3.2 Exp or DeepSeek V4.1 Flash 1017 on a 16 GB GPU?

DeepSeek V3.2 Exp does not fit (smallest quant needs 292.8 GB); DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB).

Which has a longer context window, DeepSeek V3.2 Exp or DeepSeek V4.1 Flash 1017?

DeepSeek V3.2 Exp supports 163,840 tokens and DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens.