DeepSeek V4.1 Flash 1017 vs Mistral Large 4 1T A52B

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 118.0; 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 4 1T A52B

118.0llmrun Score

1000B · 52B active · 1M context · Other · Sep 2026

VisionFunctions

Which should you choose?

Choose DeepSeek V4.1 Flash 1017 if you want…

Higher llmrun Score
134.4 vs 118.0
Stronger at coding
135.1 vs 112.3
Stronger at agents
135.7 vs 116.6
Ahead on the benchmarks
14 of 14 shared boards
Lighter on memory
458.3 vs 603.9 GB at Q4_K_M
More permissive license
MIT vs Other

Choose Mistral Large 4 1T A52B if you want…

Also does 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 4 1T A52B

8 GB

RTX 4060 · 8 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 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 4 1T A52B

Doesn't fit

smallest quant needs 304.3 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 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

24 GBreference

RTX 4090 · 24 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

32 GB

RTX 5090 · 32 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

48 GB

RTX A6000 · 48 GB tier

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 GB

Mac 32 GB

Mac Mini M4 · Macs

DeepSeek V4.1 Flash 1017

Doesn't fit

smallest quant needs 210.4 GB

Mistral Large 4 1T A52B

Doesn't fit

smallest quant needs 304.3 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 4 1T A52B

Doesn't fit

smallest quant needs 304.3 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 4 1T A52B

Doesn't fit

smallest quant needs 304.3 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 4 1T A52B

Overall

DeepSeek V4.1 Flash 1017

134.4132–137

Mistral Large 4 1T A52B

118.0115–121

Coding

DeepSeek V4.1 Flash 1017

135.1127–143

Mistral Large 4 1T A52B

112.3108–117

Agents

DeepSeek V4.1 Flash 1017

135.7131–141

Mistral Large 4 1T A52B

116.6109–125

Math

DeepSeek V4.1 Flash 1017

132.0129–135

Mistral Large 4 1T A52B

121.7118–125

Science

DeepSeek V4.1 Flash 1017

134.2122–146

Mistral Large 4 1T A52B

120.4109–132

Reasoning

DeepSeek V4.1 Flash 1017

137.1133–142

Mistral Large 4 1T A52B

120.3114–127

DeepSeek V4.1 Flash 1017 · #1 of 104 open models · #1 of 101 that fit ≤512 GB

Mistral Large 4 1T A52B · #18 of 104 open models · #16 of 101 that fit ≤640 GB

Benchmarks

14 shared boards: DeepSeek V4.1 Flash 1017 leads 14, Mistral Large 4 1T A52B leads 0 · Benchmarks imported Oct 2026

BoardDeepSeek V4.1 Flash 1017Mistral Large 4 1T A52B

GPQA Diamond

DeepSeek V4.1 Flash 1017

93.2%#1/100 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

88.1%#16/100 open

IndependentEpoch AI · Oct 2026

AIME 2024/2025

DeepSeek V4.1 Flash 1017

99.4%#1/88 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

98.3%#4/88 open

IndependentEpoch AI · Oct 2026

FrontierMath

DeepSeek V4.1 Flash 1017

71.2%#2/19 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

58.6%#8/19 open

IndependentEpoch AI · Oct 2026

SciCode

DeepSeek V4.1 Flash 1017

55.9%#6/70 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 4 1T A52B

54.2%#7/70 open

Lab-reportedEpoch AI · Oct 2026

SimpleQA

DeepSeek V4.1 Flash 1017

42.5%#6/19 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

20.0%#17/19 open

IndependentEpoch AI · Oct 2026

FrontierMath Tier 4

DeepSeek V4.1 Flash 1017

46.3%#1/15 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

26.8%#8/15 open

IndependentEpoch AI · Oct 2026

ALE-Bench

DeepSeek V4.1 Flash 1017

1622.0#1/46 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 4 1T A52B

1213.2#8/46 open

Lab-reportedEpoch AI · Oct 2026

APEX-Agents

DeepSeek V4.1 Flash 1017

69.8%#1/20 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 4 1T A52B

51.6%#5/20 open

Lab-reportedEpoch AI · Oct 2026

Chess Puzzles

DeepSeek V4.1 Flash 1017

46.0%#2/16 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

33.0%#6/16 open

IndependentEpoch AI · Oct 2026

CritPt

DeepSeek V4.1 Flash 1017

24.0%#2/82 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 4 1T A52B

10.6%#14/82 open

Lab-reportedEpoch AI · Oct 2026

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

LiveBench 2026 Coding

DeepSeek V4.1 Flash 1017

96.0#1/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

60.0#14/19 open

IndependentLiveBench · Oct 2026

LiveBench 2026 Long-Horizon

DeepSeek V4.1 Flash 1017

50.9#1/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

11.8#17/19 open

IndependentLiveBench · Oct 2026

LiveBench 2026 Reasoning

DeepSeek V4.1 Flash 1017

89.1#2/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

83.9#6/19 open

IndependentLiveBench · Oct 2026

Mystery Game Puzzles

DeepSeek V4.1 Flash 1017

49.0%#1/20 open

IndependentEpoch AI · Oct 2026

Mistral Large 4 1T A52B

17.0%#13/20 open

IndependentEpoch AI · Oct 2026

LiveBench 2026 Browser

DeepSeek V4.1 Flash 1017

76.0#5/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

8.0#13/19 open

IndependentLiveBench · Oct 2026

LiveBench 2026 Data Analysis

DeepSeek V4.1 Flash 1017

79.5#1/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

76.5#6/19 open

IndependentLiveBench · Oct 2026

LiveBench 2026 Design

DeepSeek V4.1 Flash 1017

83.4#1/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

65.6#13/19 open

IndependentLiveBench · Oct 2026

LiveBench 2026 Research

DeepSeek V4.1 Flash 1017

79.5#3/19 open

IndependentLiveBench · Oct 2026

Mistral Large 4 1T A52B

28.1#19/19 open

IndependentLiveBench · Oct 2026

WeirdML v3

DeepSeek V4.1 Flash 1017

9.2%#1/5 open

Lab-reportedEpoch AI · Oct 2026

Mistral Large 4 1T A52B

4.5%#4/5 open

Lab-reportedEpoch AI · Oct 2026

Only DeepSeek V4.1 Flash 1017 (4)

Only Mistral Large 4 1T A52B (9)

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 4 1T A52B

Q2_K

DeepSeek V4.1 Flash 1017

325 GB264.5 GB file

32K 325 GB · 128K 326 GB

Mistral Large 4 1T A52B

429 GB380.7 GB file

32K 483 GB · 128K 657 GB

Q3_K_M

DeepSeek V4.1 Flash 1017

372 GB347.3 GB file

32K 373 GB · 128K 374 GB

Mistral Large 4 1T A52B

491 GB~487.5 GB file

32K 546 GB · 128K 720 GB

Q4_K_M

DeepSeek V4.1 Flash 1017

458 GB444.7 GB file

32K 459 GB · 128K 460 GB

Mistral Large 4 1T A52B

604 GB634.8 GB file

32K 658 GB · 128K 832 GB

Q5_K_M

DeepSeek V4.1 Flash 1017

544 GB~543.8 GB file

32K 545 GB · 128K 546 GB

Mistral Large 4 1T A52B

716 GB~712.5 GB file

32K 771 GB · 128K 945 GB

Q6_K

DeepSeek V4.1 Flash 1017

630 GB~629.6 GB file

32K 630 GB · 128K 632 GB

Mistral Large 4 1T A52B

829 GB~825.0 GB file

32K 883 GB · 128K 1057 GB

Q8_0

DeepSeek V4.1 Flash 1017

764 GB~763.2 GB file

32K 764 GB · 128K 765 GB

Mistral Large 4 1T A52B

1004 GB~1000.0 GB file

32K 1058 GB · 128K 1232 GB

5 more quants

IQ2_XXS

DeepSeek V4.1 Flash 1017

210 GB300.5 GB file

32K 211 GB · 128K 212 GB

Mistral Large 4 1T A52B

279 GB302.5 GB file

32K 333 GB · 128K 507 GB

IQ2_XS

DeepSeek V4.1 Flash 1017

229 GB~229.0 GB file

32K 230 GB · 128K 231 GB

Mistral Large 4 1T A52B

not listed

IQ3_XXS

DeepSeek V4.1 Flash 1017

296 GB394.7 GB file

32K 296 GB · 128K 298 GB

Mistral Large 4 1T A52B

391 GB423.5 GB file

32K 446 GB · 128K 620 GB

IQ3_S

DeepSeek V4.1 Flash 1017

325 GB423.6 GB file

32K 325 GB · 128K 326 GB

Mistral Large 4 1T A52B

not listed

BF16

DeepSeek V4.1 Flash 1017

1527 GB~1526.4 GB file

32K 1527 GB · 128K 1528 GB

Mistral Large 4 1T A52B

2004 GB~2000.0 GB file

32K 2058 GB · 128K 2232 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 4 1T A52B

Ollama · Q4_K_M

$ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-GGUF:Q4_K_M

All ways to run Mistral Large 4 1T A52B →

Specifications

Specifications of DeepSeek V4.1 Flash 1017 and Mistral Large 4 1T A52B
Spec	DeepSeek V4.1 Flash 1017	Mistral Large 4 1T A52B
Publisher	DeepSeek	Mistral AI
Parameters	763.2B	1000B
Active parameters	16B per token	52B per token
Architecture	DeepseekV41ForCausalLM	MistralLarge4ForConditionalGeneration
Context	1M tokens	1M tokens
Modalities	Vision	Vision, Function-calling
License	MIT	Other
Released	Oct 2026	Sep 2026

Frequently Asked Questions

Which is better, DeepSeek V4.1 Flash 1017 or Mistral Large 4 1T A52B?

DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 118.0; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at coding; choose Mistral Large 4 1T A52B for also does function-calling.

Which needs less VRAM, DeepSeek V4.1 Flash 1017 or Mistral Large 4 1T A52B?

At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while Mistral Large 4 1T A52B needs 603.9 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 Mistral Large 4 1T A52B on a 16 GB GPU?

DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); Mistral Large 4 1T A52B does not fit (smallest quant needs 304.3 GB).

Which has a longer context window, DeepSeek V4.1 Flash 1017 or Mistral Large 4 1T A52B?

DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and Mistral Large 4 1T A52B supports 1,048,576 tokens.