DeepSeek V4.1 Flash 1017 vs Mistral Large 3 675B Instruct 2512

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 89.6; neither fits 24 GB.

Run DeepSeek V4.1 Flash 1017 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 · Mistral AI

Mistral Large 3 675B Instruct 2512

89.6llmrun Score

675B · 41B active · Apache 2.0 · Nov 2025

ChatFunctions

Which should you choose?

Choose DeepSeek V4.1 Flash 1017 if you want…

Higher llmrun Score
134.4 vs 89.6
Stronger at reasoning
137.1 vs 89.0
Stronger at coding
135.1 vs 92.8
Ahead on the benchmarks
3 of 3 shared boards
Also does vision
Mistral Large 3 675B Instruct 2512 doesn't list it
Newer release
Oct 2026 vs Nov 2025

Choose Mistral Large 3 675B Instruct 2512 if you want…

Also does chat, function-calling
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 1017Mistral Large 3 675B Instruct 2512

8 GB

RTX 4060 · 8 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

Mac 64 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 GB

Mac 128 GB

Mac Studio M4 Max · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 3 675B Instruct 2512

Doesn't fit

smallest quant needs 213.1 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 Mistral Large 3 675B Instruct 2512

Overall

DeepSeek V4.1 Flash 1017

134.4132–137

Mistral Large 3 675B Instruct 2512

89.682–98

Coding

DeepSeek V4.1 Flash 1017

135.1127–143

Mistral Large 3 675B Instruct 2512

92.876–110

Agents

DeepSeek V4.1 Flash 1017

135.7131–141

Mistral Large 3 675B Instruct 2512

no data

Math

DeepSeek V4.1 Flash 1017

132.0129–135

Mistral Large 3 675B Instruct 2512

no data

Science

DeepSeek V4.1 Flash 1017

134.3123–146

Mistral Large 3 675B Instruct 2512

96.975–119

Reasoning

DeepSeek V4.1 Flash 1017

137.1133–142

Mistral Large 3 675B Instruct 2512

89.080–98

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

Mistral Large 3 675B Instruct 2512 · #75 of 106 open models · #71 of 102 that fit ≤512 GB

Benchmarks

3 shared boards: DeepSeek V4.1 Flash 1017 leads 3, Mistral Large 3 675B Instruct 2512 leads 0 · Benchmarks imported Nov 2026

BoardDeepSeek V4.1 Flash 1017Mistral Large 3 675B Instruct 2512

SciCode

DeepSeek V4.1 Flash 1017

55.9%#7/72 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 3 675B Instruct 2512

36.6%#47/72 open

Lab-reportedEpoch AI · Dec 2025

ALE-Bench

DeepSeek V4.1 Flash 1017

1622.0#2/48 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 3 675B Instruct 2512

264.7#46/48 open

Lab-reportedEpoch AI · Dec 2025

CritPt

DeepSeek V4.1 Flash 1017

24.0%#3/84 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 3 675B Instruct 2512

0.0%#72/84 open

Lab-reportedEpoch AI · Dec 2025

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

LMArena WebDev

DeepSeek V4.1 Flash 1017

1665.0#1/55 open

ArenaLMArena · Oct 2026

Mistral Large 3 675B Instruct 2512

1232.6#53/55 open

ArenaLMArena · Oct 2026

Only DeepSeek V4.1 Flash 1017 (19)

Only Mistral Large 3 675B Instruct 2512 (3)

LMArena Text1414.3
DTBench65.1%
LMCA16.7%

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 1017Mistral Large 3 675B Instruct 2512

Q2_K

DeepSeek V4.1 Flash 1017

325 GB264.5 GB file

32K 325 GB · 128K 326 GB

Mistral Large 3 675B Instruct 2512

316 GB247.1 GB file

32K 335 GB · 128K 396 GB

Q3_K_S

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

325 GB291.9 GB file

32K 344 GB · 128K 405 GB

Q3_K_M

DeepSeek V4.1 Flash 1017

372 GB347.3 GB file

32K 373 GB · 128K 374 GB

Mistral Large 3 675B Instruct 2512

362 GB321.8 GB file

32K 381 GB · 128K 442 GB

Q4_0

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

371 GB381.7 GB file

32K 390 GB · 128K 451 GB

Q4_K_M

DeepSeek V4.1 Flash 1017

458 GB444.7 GB file

32K 459 GB · 128K 460 GB

Mistral Large 3 675B Instruct 2512

446 GB407.0 GB file

32K 465 GB · 128K 525 GB

Q5_K_M

DeepSeek V4.1 Flash 1017

544 GB~543.8 GB file

32K 545 GB · 128K 546 GB

Mistral Large 3 675B Instruct 2512

529 GB478.0 GB file

32K 548 GB · 128K 609 GB

Q6_K

DeepSeek V4.1 Flash 1017

630 GB~629.6 GB file

32K 630 GB · 128K 632 GB

Mistral Large 3 675B Instruct 2512

613 GB553.3 GB file

32K 632 GB · 128K 693 GB

Q8_0

DeepSeek V4.1 Flash 1017

764 GB~763.2 GB file

32K 764 GB · 128K 765 GB

Mistral Large 3 675B Instruct 2512

743 GB715.7 GB file

32K 762 GB · 128K 822 GB

15 more quants

IQ2_XXS

DeepSeek V4.1 Flash 1017

210 GB300.5 GB file

32K 211 GB · 128K 212 GB

Mistral Large 3 675B Instruct 2512

204 GB224.8 GB file

32K 223 GB · 128K 284 GB

IQ2_XS

DeepSeek V4.1 Flash 1017

229 GB~229.0 GB file

32K 230 GB · 128K 231 GB

Mistral Large 3 675B Instruct 2512

223 GB189.5 GB file

32K 242 GB · 128K 303 GB

IQ2_S

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

232 GB190.8 GB file

32K 251 GB · 128K 312 GB

IQ2_M

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

251 GB235.4 GB file

32K 270 GB · 128K 331 GB

IQ3_XXS

DeepSeek V4.1 Flash 1017

296 GB394.7 GB file

32K 296 GB · 128K 298 GB

Mistral Large 3 675B Instruct 2512

288 GB279.2 GB file

32K 307 GB · 128K 368 GB

IQ3_XS

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

306 GB279.1 GB file

32K 325 GB · 128K 386 GB

IQ3_S

DeepSeek V4.1 Flash 1017

325 GB423.6 GB file

32K 325 GB · 128K 326 GB

Mistral Large 3 675B Instruct 2512

not listed

IQ3_M

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

334 GB309.9 GB file

32K 353 GB · 128K 414 GB

Q3_K_L

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

381 GB321.7 GB file

32K 400 GB · 128K 460 GB

IQ4_XS

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

399 GB360.0 GB file

32K 418 GB · 128K 479 GB

IQ4_NL

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

418 GB380.7 GB file

32K 437 GB · 128K 498 GB

Q4_1

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

418 GB422.4 GB file

32K 437 GB · 128K 498 GB

Q4_K_S

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

418 GB382.7 GB file

32K 437 GB · 128K 498 GB

Q5_K_S

DeepSeek V4.1 Flash 1017

not listed

Mistral Large 3 675B Instruct 2512

510 GB464.4 GB file

32K 530 GB · 128K 590 GB

BF16

DeepSeek V4.1 Flash 1017

1527 GB~1526.4 GB file

32K 1527 GB · 128K 1528 GB

Mistral Large 3 675B Instruct 2512

1485 GB1347.0 GB file

32K 1504 GB · 128K 1565 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 →

Mistral Large 3 675B Instruct 2512

Ollama · Q4_K_M

$ollama run hf.co/unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF:Q4_K_M

All ways to run Mistral Large 3 675B Instruct 2512 →

Specifications

Specifications of DeepSeek V4.1 Flash 1017 and Mistral Large 3 675B Instruct 2512
Spec	DeepSeek V4.1 Flash 1017	Mistral Large 3 675B Instruct 2512
Publisher	DeepSeek	Mistral AI
Parameters	763.2B	675B
Active parameters	16B per token	41B per token
Architecture	DeepseekV41ForCausalLM	—
Context	1M tokens	—
Modalities	Vision	Chat, Function-calling
License	MIT	Apache 2.0
Released	Oct 2026	Nov 2025

Frequently Asked Questions

Which is better, DeepSeek V4.1 Flash 1017 or Mistral Large 3 675B Instruct 2512?

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 89.6; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at reasoning; choose Mistral Large 3 675B Instruct 2512 for also does chat, function-calling.

Which needs less VRAM, DeepSeek V4.1 Flash 1017 or Mistral Large 3 675B Instruct 2512?

At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while Mistral Large 3 675B Instruct 2512 needs 445.5 GB, making Mistral Large 3 675B Instruct 2512 the easier model to run on your local setup.

Can I run DeepSeek V4.1 Flash 1017 or Mistral Large 3 675B Instruct 2512 on a 16 GB GPU?

DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); Mistral Large 3 675B Instruct 2512 does not fit (smallest quant needs 213.1 GB).