DeepSeek V3.1 Terminus vs DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 107.3; neither fits 24 GB.
Run DeepSeek V4.1 Flash 1017 in the cloud →
Model A · DeepSeek
DeepSeek V3.1 Terminus684.5B · 40.1B active · 160K context · MIT · Sep 2025
Model B · DeepSeek
DeepSeek V4.1 Flash 1017763.2B · 16B active · 1M context · MIT · Oct 2026
Choose DeepSeek V3.1 Terminus 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 107.3
Stronger at science
134.3 vs 99.4
Stronger at reasoning
137.1 vs 107.6
Ahead on the benchmarks
3 of 3 shared boards
Longer context window
1M vs 160K tokens
Also does vision
DeepSeek V3.1 Terminus 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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
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 V3.1 Terminus
DeepSeek V4.1 Flash 1017
Coding
DeepSeek V3.1 Terminus
DeepSeek V4.1 Flash 1017
Agents
DeepSeek V3.1 Terminus
no data
DeepSeek V4.1 Flash 1017
Math
DeepSeek V3.1 Terminus
no data
DeepSeek V4.1 Flash 1017
Science
DeepSeek V3.1 Terminus
DeepSeek V4.1 Flash 1017
Reasoning
DeepSeek V3.1 Terminus
DeepSeek V4.1 Flash 1017
DeepSeek V3.1 Terminus · #40 of 106 open models · #36 of 102 that fit ≤512 GB
DeepSeek V4.1 Flash 1017 · #2 of 106 open models · #1 of 102 that fit ≤512 GB
Benchmarks
3 shared boards: DeepSeek V3.1 Terminus leads 0, DeepSeek V4.1 Flash 1017 leads 3 · Benchmarks imported Nov 2026
DeepSeek V3.1 Terminus
38.0%#45/72 open
Lab-reportedEpoch AI · Sep 2025
DeepSeek V4.1 Flash 1017
55.9%#7/72 open
Lab-reportedEpoch AI · Oct 2026
DeepSeek V3.1 Terminus
745.2#25/48 open
Lab-reportedEpoch AI · Sep 2025
DeepSeek V4.1 Flash 1017
1622.0#2/48 open
Lab-reportedEpoch AI · Oct 2026
DeepSeek V3.1 Terminus
1.7%#33/84 open
Lab-reportedEpoch AI · Sep 2025
DeepSeek V4.1 Flash 1017
24.0%#3/84 open
Lab-reportedEpoch AI · Oct 2026
23 more boards (other shared and single-model boards)
Only DeepSeek V3.1 Terminus (3)
- LMArena Text1416.1
- DTBench81.3%
- LMCA28.6%
Only DeepSeek V4.1 Flash 1017 (20)
- GPQA Diamond93.2%
- AIME 2024/202599.4%
- FrontierMath71.2%
- LMArena WebDev1665.0
- ARC-AGI-278.1%
- ARC-AGI94.5%
- 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
- 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 V3.1 Terminus
295 GB245.7 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 V3.1 Terminus
303 GB290.4 GB file
32K 302 GB · 128K 309 GB
DeepSeek V4.1 Flash 1017
not listed
Q3_K_M
DeepSeek V3.1 Terminus
338 GB320.5 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 V3.1 Terminus
346 GB380.1 GB file
32K 345 GB · 128K 352 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_K_M
DeepSeek V3.1 Terminus
415 GB405.4 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 V3.1 Terminus
492 GB476.2 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 V3.1 Terminus
569 GB551.3 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 V3.1 Terminus
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
15 more quants
IQ2_XXS
DeepSeek V3.1 Terminus
192 GB217.1 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 V3.1 Terminus
209 GB188.4 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 V3.1 Terminus
218 GB189.6 GB file
32K 217 GB · 128K 223 GB
DeepSeek V4.1 Flash 1017
not listed
IQ2_M
DeepSeek V3.1 Terminus
235 GB228.9 GB file
32K 234 GB · 128K 241 GB
DeepSeek V4.1 Flash 1017
not listed
IQ3_XXS
DeepSeek V3.1 Terminus
269 GB273.5 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_XS
DeepSeek V3.1 Terminus
286 GB277.1 GB file
32K 285 GB · 128K 292 GB
DeepSeek V4.1 Flash 1017
not listed
IQ3_S
DeepSeek V3.1 Terminus
not listed
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
IQ3_M
DeepSeek V3.1 Terminus
312 GB307.9 GB file
32K 311 GB · 128K 318 GB
DeepSeek V4.1 Flash 1017
not listed
Q3_K_L
DeepSeek V3.1 Terminus
355 GB319.7 GB file
32K 353 GB · 128K 360 GB
DeepSeek V4.1 Flash 1017
not listed
IQ4_XS
DeepSeek V3.1 Terminus
372 GB358.3 GB file
32K 371 GB · 128K 377 GB
DeepSeek V4.1 Flash 1017
not listed
IQ4_NL
DeepSeek V3.1 Terminus
389 GB379.1 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_1
DeepSeek V3.1 Terminus
389 GB420.8 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q4_K_S
DeepSeek V3.1 Terminus
389 GB381.1 GB file
32K 388 GB · 128K 395 GB
DeepSeek V4.1 Flash 1017
not listed
Q5_K_S
DeepSeek V3.1 Terminus
475 GB462.6 GB file
32K 473 GB · 128K 480 GB
DeepSeek V4.1 Flash 1017
not listed
BF16
DeepSeek V3.1 Terminus
1373 GB1342.3 GB file
32K 1372 GB · 128K 1379 GB
DeepSeek V4.1 Flash 1017
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
DeepSeek V3.1 Terminus
Ollama · Q4_K_M
ollama run hf.co/unsloth/DeepSeek-V3.1-Terminus-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 V3.1 Terminus | 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, Function-calling | Vision |
| License | MIT | MIT |
| Released | Sep 2025 | Oct 2026 |
Frequently Asked Questions
Which is better, DeepSeek V3.1 Terminus or DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 107.3; neither fits 24 GB. Choose DeepSeek V3.1 Terminus 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 V3.1 Terminus or DeepSeek V4.1 Flash 1017?
At Q4_K_M, DeepSeek V3.1 Terminus requires 414.6 GB while DeepSeek V4.1 Flash 1017 needs 458.3 GB, making DeepSeek V3.1 Terminus the easier model to run on your local setup.
Can I run DeepSeek V3.1 Terminus or DeepSeek V4.1 Flash 1017 on a 16 GB GPU?
DeepSeek V3.1 Terminus 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 V3.1 Terminus or DeepSeek V4.1 Flash 1017?
DeepSeek V3.1 Terminus supports 163,840 tokens and DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens.