DeepSeek R1 vs DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 98.9; neither fits 24 GB.
Run DeepSeek V4.1 Flash 1017 in the cloud →
Model A · DeepSeek
DeepSeek R1684.5B · 40.1B active · 160K context · MIT · Jan 2025
Model B · DeepSeek
DeepSeek V4.1 Flash 1017763.2B · 16B active · 1M context · MIT · Oct 2026
Choose DeepSeek R1 if you want…
Also does chat, reasoning, 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 98.9
Stronger at reasoning
137.1 vs 95.2
Stronger at science
134.3 vs 99.0
Ahead on the benchmarks
6 of 6 shared boards
Longer context window
1M vs 160K tokens
Also does vision
DeepSeek R1 doesn't list it
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 R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 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 R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 GB
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek R1
Doesn't fit
smallest quant needs 189.7 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).
Overall
DeepSeek R1
DeepSeek V4.1 Flash 1017
Coding
DeepSeek R1
DeepSeek V4.1 Flash 1017
Agents
DeepSeek R1
no data
DeepSeek V4.1 Flash 1017
Math
DeepSeek R1
no data
DeepSeek V4.1 Flash 1017
Science
DeepSeek R1
DeepSeek V4.1 Flash 1017
Reasoning
DeepSeek R1
DeepSeek V4.1 Flash 1017
DeepSeek R1 · #60 of 106 open models · #56 of 102 that fit ≤512 GB
DeepSeek V4.1 Flash 1017 · #2 of 106 open models · #1 of 102 that fit ≤512 GB
Benchmarks
6 shared boards: DeepSeek R1 leads 0, DeepSeek V4.1 Flash 1017 leads 6 · Benchmarks imported Nov 2026
DeepSeek R1
69.2%#36/100 open
IndependentEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
93.2%#1/100 open
IndependentEpoch AI · Oct 2026
DeepSeek R1
53.3%#45/88 open
IndependentEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
99.4%#1/88 open
IndependentEpoch AI · Oct 2026
DeepSeek R1
1.3%#17/22 open
IndependentEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
78.1%#1/22 open
IndependentEpoch AI · Oct 2026
DeepSeek R1
38.3%#44/72 open
Lab-reportedEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
55.9%#7/72 open
Lab-reportedEpoch AI · Oct 2026
DeepSeek R1
15.8%#18/22 open
IndependentEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
94.5%#2/22 open
IndependentEpoch AI · Oct 2026
DeepSeek R1
1.1%#39/84 open
Lab-reportedEpoch AI · Jan 2025
DeepSeek V4.1 Flash 1017
24.0%#3/84 open
Lab-reportedEpoch AI · Oct 2026
26 more boards (other shared and single-model boards)
Only DeepSeek R1 (9)
- LMArena Text1398.1
- MMLU-Pro84.0%
- Aider Polyglot56.9%
- SimpleBench30.9%
- MATH Level 593.0%
- WeirdML36.5%
- BALROG34.9%
- Fiction.LiveBench69.4%
- METR Time Horizons51.9%
Only DeepSeek V4.1 Flash 1017 (17)
- FrontierMath71.2%
- LMArena WebDev1665.0
- SimpleQA42.5%
- FrontierMath Tier 446.3%
- APEX-Agents69.8%
- Chess Puzzles46.0%
- LiveBench 2026 Reasoning89.1
- Mystery Game Puzzles49.0%
- LiveBench 2026 Browser76.0
- LiveBench 2026 Data Analysis79.5
- ALE-Bench1622.0
- CursorBench47.7%
- LiveBench 2026 Coding96.0
- LiveBench 2026 Long-Horizon50.9
- LiveBench 2026 Design83.4
- WeirdML v39.2%
- LiveBench 2026 Research79.5
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 R1
295 GB244.0 GB file
32K 294 GB · 128K 300 GB
DeepSeek V4.1 Flash 1017
325 GB264.5 GB file
32K 325 GB · 128K 326 GB
Q3_K_S
DeepSeek R1
303 GB289.1 GB file
32K 302 GB · 128K 309 GB
DeepSeek V4.1 Flash 1017
not listed
Q3_K_M
DeepSeek R1
338 GB319.2 GB file
32K 336 GB · 128K 343 GB
DeepSeek V4.1 Flash 1017
372 GB347.3 GB file
32K 373 GB · 128K 374 GB
Q4_0
DeepSeek R1
346 GB379.0 GB file
32K 345 GB · 128K 352 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_K_M
DeepSeek R1
415 GB404.4 GB file
32K 413 GB · 128K 420 GB
DeepSeek V4.1 Flash 1017
458 GB444.7 GB file
32K 459 GB · 128K 460 GB
Q5_K_M
DeepSeek R1
492 GB475.4 GB file
32K 490 GB · 128K 497 GB
DeepSeek V4.1 Flash 1017
544 GB~543.8 GB file
32K 545 GB · 128K 546 GB
Q6_K
DeepSeek R1
569 GB550.8 GB file
32K 567 GB · 128K 574 GB
DeepSeek V4.1 Flash 1017
630 GB~629.6 GB file
32K 630 GB · 128K 632 GB
Q8_0
DeepSeek R1
688 GB713.3 GB file
32K 687 GB · 128K 694 GB
DeepSeek V4.1 Flash 1017
764 GB~763.2 GB file
32K 764 GB · 128K 765 GB
14 more quants
IQ2_XXS
DeepSeek R1
192 GB196.2 GB file
32K 191 GB · 128K 198 GB
DeepSeek V4.1 Flash 1017
210 GB300.5 GB file
32K 211 GB · 128K 212 GB
IQ2_XS
DeepSeek R1
209 GB195.1 GB file
32K 208 GB · 128K 215 GB
DeepSeek V4.1 Flash 1017
229 GB~229.0 GB file
32K 230 GB · 128K 231 GB
IQ2_S
DeepSeek R1
218 GB197.0 GB file
32K 217 GB · 128K 223 GB
DeepSeek V4.1 Flash 1017
not listed
IQ2_M
DeepSeek R1
235 GB217.4 GB file
32K 234 GB · 128K 241 GB
DeepSeek V4.1 Flash 1017
not listed
IQ3_XXS
DeepSeek R1
269 GB257.9 GB file
32K 268 GB · 128K 275 GB
DeepSeek V4.1 Flash 1017
296 GB394.7 GB file
32K 296 GB · 128K 298 GB
IQ3_S
DeepSeek R1
not listed
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
IQ3_M
DeepSeek R1
312 GB292.1 GB file
32K 311 GB · 128K 318 GB
DeepSeek V4.1 Flash 1017
not listed
Q3_K_L
DeepSeek R1
355 GB347.4 GB file
32K 353 GB · 128K 360 GB
DeepSeek V4.1 Flash 1017
not listed
IQ4_XS
DeepSeek R1
372 GB357.1 GB file
32K 371 GB · 128K 377 GB
DeepSeek V4.1 Flash 1017
not listed
IQ4_NL
DeepSeek R1
389 GB378.1 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_1
DeepSeek R1
389 GB419.9 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_K_S
DeepSeek R1
389 GB380.0 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q5_K_S
DeepSeek R1
474 GB461.8 GB file
32K 473 GB · 128K 480 GB
DeepSeek V4.1 Flash 1017
not listed
BF16
DeepSeek R1
1373 GB1342.3 GB file
32K 1372 GB · 128K 1378 GB
DeepSeek V4.1 Flash 1017
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
DeepSeek R1
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-R1-GGUF:Q4_K_MDeepSeek V4.1 Flash 1017
Ollama · Q4_K_M
ollama run hf.co/mrfakename/DeepSeek-V4.1-Flash-1017-GGUF:Q4_K_M| Spec | DeepSeek R1 | DeepSeek V4.1 Flash 1017 |
|---|---|---|
| Publisher | DeepSeek | DeepSeek |
| Parameters | 684.5B | 763.2B |
| Active parameters | 40B per token | 16B per token |
| Architecture | DeepseekV3ForCausalLM | DeepseekV41ForCausalLM |
| Context | 160K tokens | 1M tokens |
| Modalities | Chat, Reasoning, Function-calling | Vision |
| License | MIT | MIT |
| Released | Jan 2025 | Oct 2026 |
Frequently Asked Questions
Which is better, DeepSeek R1 or DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 98.9; neither fits 24 GB. Choose DeepSeek R1 for also does chat, reasoning, function-calling; choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at reasoning.
Which needs less VRAM, DeepSeek R1 or DeepSeek V4.1 Flash 1017?
At Q4_K_M, DeepSeek R1 requires 414.6 GB while DeepSeek V4.1 Flash 1017 needs 458.3 GB, making DeepSeek R1 the easier model to run on your local setup.
Can I run DeepSeek R1 or DeepSeek V4.1 Flash 1017 on a 16 GB GPU?
DeepSeek R1 does not fit (smallest quant needs 189.7 GB); DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB).
Which has a longer context window, DeepSeek R1 or DeepSeek V4.1 Flash 1017?
DeepSeek R1 supports 163,840 tokens and DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens.