DeepSeek V4.1 Flash 1017 vs Kimi K3.1 Pro

Kimi K3.1 Pro leads llmrun Score 142.8 to 134.4; neither fits 24 GB.

Run Kimi K3.1 Pro in the cloud →

Model A · DeepSeek

DeepSeek V4.1 Flash 1017

134.4llmrun Score

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

Vision

Model B · Moonshot AI

Kimi K3.1 Pro

142.8llmrun Score

2780.1B · 106B active · 1M context · Other · Nov 2026

VisionChat

Which should you choose?

Choose DeepSeek V4.1 Flash 1017 if you want…

Lighter on memory
458.3 vs 1673.8 GB at Q4_K_M
More permissive license
MIT vs Other

Choose Kimi K3.1 Pro if you want…

Higher llmrun Score
142.8 vs 134.4
Ahead on the benchmarks
3 of 3 shared boards
Also does chat
DeepSeek V4.1 Flash 1017 doesn't list it

On your hardware

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

MemoryDeepSeek V4.1 Flash 1017Kimi K3.1 Pro

8 GB

RTX 4060 · 8 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Kimi K3.1 Pro

Doesn't fit

smallest quant needs 1225.5 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 V4.1 Flash 1017 Kimi K3.1 Pro

Overall

DeepSeek V4.1 Flash 1017

134.4132–137

Kimi K3.1 Pro

142.8138–148

Coding

DeepSeek V4.1 Flash 1017

135.1127–143

Kimi K3.1 Pro

140.7131–150

Agents

DeepSeek V4.1 Flash 1017

135.7131–141

Kimi K3.1 Pro

no data

Math

DeepSeek V4.1 Flash 1017

132.0129–135

Kimi K3.1 Pro

no data

Science

DeepSeek V4.1 Flash 1017

134.3123–146

Kimi K3.1 Pro

138.0126–150

Reasoning

DeepSeek V4.1 Flash 1017

137.1133–142

Kimi K3.1 Pro

no data

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

Kimi K3.1 Pro · #1 of 106 open models · #1 of 106 that fit ≤2 TB

Benchmarks

3 shared boards: DeepSeek V4.1 Flash 1017 leads 0, Kimi K3.1 Pro leads 3 · Benchmarks imported Nov 2026

BoardDeepSeek V4.1 Flash 1017Kimi K3.1 Pro

SciCode

DeepSeek V4.1 Flash 1017

55.9%#7/72 open

Lab-reportedEpoch AI · Oct 2026

Kimi K3.1 Pro

60.8%#2/72 open

Lab-reportedEpoch AI · Oct 2026

ALE-Bench

DeepSeek V4.1 Flash 1017

1622.0#2/48 open

Lab-reportedEpoch AI · Oct 2026

Kimi K3.1 Pro

1932.8#1/48 open

Lab-reportedEpoch AI · Oct 2026

CritPt

DeepSeek V4.1 Flash 1017

24.0%#3/84 open

Lab-reportedEpoch AI · Oct 2026

Kimi K3.1 Pro

24.6%#2/84 open

Lab-reportedEpoch AI · Oct 2026

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

Only DeepSeek V4.1 Flash 1017 (20)

Only Kimi K3.1 Pro (1)

ProofBench91.0%

VRAM by quantization

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

QuantDeepSeek V4.1 Flash 1017Kimi K3.1 Pro

Q2_K

DeepSeek V4.1 Flash 1017

325 GB264.5 GB file

32K 325 GB · 128K 326 GB

Kimi K3.1 Pro

1187 GB~1181.5 GB file

32K 1269 GB · 128K 1531 GB

Q3_K_M

DeepSeek V4.1 Flash 1017

372 GB347.3 GB file

32K 373 GB · 128K 374 GB

Kimi K3.1 Pro

1361 GB~1355.3 GB file

32K 1443 GB · 128K 1705 GB

Q4_K_M

DeepSeek V4.1 Flash 1017

458 GB444.7 GB file

32K 459 GB · 128K 460 GB

Kimi K3.1 Pro

1674 GB~1668.1 GB file

32K 1756 GB · 128K 2018 GB

Q5_K_M

DeepSeek V4.1 Flash 1017

544 GB~543.8 GB file

32K 545 GB · 128K 546 GB

Kimi K3.1 Pro

1987 GB~1980.8 GB file

32K 2069 GB · 128K 2331 GB

Q6_K

DeepSeek V4.1 Flash 1017

630 GB~629.6 GB file

32K 630 GB · 128K 632 GB

Kimi K3.1 Pro

2299 GB~2293.6 GB file

32K 2381 GB · 128K 2643 GB

Q8_0

DeepSeek V4.1 Flash 1017

764 GB~763.2 GB file

32K 764 GB · 128K 765 GB

Kimi K3.1 Pro

2786 GB~2780.1 GB file

32K 2868 GB · 128K 3130 GB

5 more quants

IQ2_XXS

DeepSeek V4.1 Flash 1017

210 GB300.5 GB file

32K 211 GB · 128K 212 GB

Kimi K3.1 Pro

not listed

IQ2_XS

DeepSeek V4.1 Flash 1017

229 GB~229.0 GB file

32K 230 GB · 128K 231 GB

Kimi K3.1 Pro

not listed

IQ3_XXS

DeepSeek V4.1 Flash 1017

296 GB394.7 GB file

32K 296 GB · 128K 298 GB

Kimi K3.1 Pro

not listed

IQ3_S

DeepSeek V4.1 Flash 1017

325 GB423.6 GB file

32K 325 GB · 128K 326 GB

Kimi K3.1 Pro

not listed

BF16

DeepSeek V4.1 Flash 1017

1527 GB~1526.4 GB file

32K 1527 GB · 128K 1528 GB

Kimi K3.1 Pro

5566 GB~5560.2 GB file

32K 5648 GB · 128K 5910 GB

How to run each

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 →

Kimi K3.1 Pro

No local recipe · Q4_K_M

No GGUF repo entry exists for this model yet.

All ways to run Kimi K3.1 Pro →

Specifications

Specifications of DeepSeek V4.1 Flash 1017 and Kimi K3.1 Pro
Spec	DeepSeek V4.1 Flash 1017	Kimi K3.1 Pro
Publisher	DeepSeek	Moonshot AI
Parameters	763.2B	2780.1B
Active parameters	16B per token	106B per token
Architecture	DeepseekV41ForCausalLM	KimiK31ForConditionalGeneration
Context	1M tokens	1M tokens
Modalities	Vision	Vision, Chat
License	MIT	Other
Released	Oct 2026	Nov 2026

Frequently Asked Questions

Which is better, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro?

Kimi K3.1 Pro leads llmrun Score 142.8 to 134.4; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for lighter on memory and more permissive license; choose Kimi K3.1 Pro for higher llmrun Score and ahead on the benchmarks.

Which needs less VRAM, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro?

At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while Kimi K3.1 Pro needs 1673.8 GB, making DeepSeek V4.1 Flash 1017 the easier model to run on your local setup.

Can I run DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro on a 16 GB GPU?

DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); Kimi K3.1 Pro does not fit (smallest quant needs 1225.5 GB).

Which has a longer context window, DeepSeek V4.1 Flash 1017 or Kimi K3.1 Pro?

DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and Kimi K3.1 Pro supports 1,048,576 tokens.