DeepSeek V4.1 Flash 1017 vs Kimi K2 Instruct 0905
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 102.7; neither fits 24 GB.
Run DeepSeek V4.1 Flash 1017 in the cloud →
Model A · DeepSeek
DeepSeek V4.1 Flash 1017763.2B · 16B active · 1M context · MIT · Oct 2026
Model B · Moonshot AI
Kimi K2 Instruct 09051026.4B · 32.9B active · 256K context · Other · Sep 2025
Choose DeepSeek V4.1 Flash 1017 if you want…
Higher llmrun Score
134.4 vs 102.7
Stronger at coding
135.1 vs 100.0
Lighter on memory
458.3 vs 619.7 GB at Q4_K_M
Longer context window
1M vs 256K tokens
Also does vision
Kimi K2 Instruct 0905 doesn't list it
More permissive license
MIT vs Other
Choose Kimi K2 Instruct 0905 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%.
8 GB
RTX 4060 · 8 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 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 K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
Kimi K2 Instruct 0905
Doesn't fit
smallest quant needs 283.7 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
Coding
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
Agents
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
no data
Math
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
no data
Science
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
no data
Reasoning
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct 0905
no data
DeepSeek V4.1 Flash 1017 · #2 of 106 open models · #1 of 102 that fit ≤512 GB
Kimi K2 Instruct 0905 · #51 of 106 open models · #47 of 102 that fit ≤640 GB
Benchmarks
1 shared board: DeepSeek V4.1 Flash 1017 leads 1, Kimi K2 Instruct 0905 leads 0 · Benchmarks imported Nov 2026
DeepSeek V4.1 Flash 1017
1622.0#2/48 open
Lab-reportedEpoch AI · Oct 2026
Kimi K2 Instruct 0905
267.1#45/48 open
Lab-reportedEpoch AI · Sep 2025
28 more boards (other shared and single-model boards)
Only DeepSeek V4.1 Flash 1017 (22)
- GPQA Diamond93.2%
- AIME 2024/202599.4%
- FrontierMath71.2%
- LMArena WebDev1665.0
- ARC-AGI-278.1%
- SciCode55.9%
- ARC-AGI94.5%
- SimpleQA42.5%
- FrontierMath Tier 446.3%
- APEX-Agents69.8%
- Chess Puzzles46.0%
- CritPt24.0%
- 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
Only Kimi K2 Instruct 0905 (6)
- SWE-bench Verified71.2%
- LMArena Text1418.5
- Aider Polyglot59.1%
- WeirdML36.7%
- Fiction.LiveBench66.7%
- ForecastBench62.7
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
DeepSeek V4.1 Flash 1017
325 GB264.5 GB file
32K 325 GB · 128K 326 GB
Kimi K2 Instruct 0905
440 GB374.1 GB file
32K 439 GB · 128K 446 GB
Q3_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
453 GB443.2 GB file
32K 452 GB · 128K 459 GB
Q3_K_M
DeepSeek V4.1 Flash 1017
372 GB347.3 GB file
32K 373 GB · 128K 374 GB
Kimi K2 Instruct 0905
504 GB490.0 GB file
32K 503 GB · 128K 510 GB
Q4_0
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
517 GB581.2 GB file
32K 516 GB · 128K 523 GB
Q4_K_M
DeepSeek V4.1 Flash 1017
458 GB444.7 GB file
32K 459 GB · 128K 460 GB
Kimi K2 Instruct 0905
620 GB621.2 GB file
32K 618 GB · 128K 625 GB
Q5_K_M
DeepSeek V4.1 Flash 1017
544 GB~543.8 GB file
32K 545 GB · 128K 546 GB
Kimi K2 Instruct 0905
735 GB728.7 GB file
32K 734 GB · 128K 741 GB
Q6_K
DeepSeek V4.1 Flash 1017
630 GB~629.6 GB file
32K 630 GB · 128K 632 GB
Kimi K2 Instruct 0905
851 GB842.9 GB file
32K 849 GB · 128K 856 GB
Q8_0
DeepSeek V4.1 Flash 1017
764 GB~763.2 GB file
32K 764 GB · 128K 765 GB
Kimi K2 Instruct 0905
1030 GB1091.1 GB file
32K 1029 GB · 128K 1036 GB
15 more quants
IQ2_XXS
DeepSeek V4.1 Flash 1017
210 GB300.5 GB file
32K 211 GB · 128K 212 GB
Kimi K2 Instruct 0905
286 GB330.8 GB file
32K 285 GB · 128K 292 GB
IQ2_XS
DeepSeek V4.1 Flash 1017
229 GB~229.0 GB file
32K 230 GB · 128K 231 GB
Kimi K2 Instruct 0905
312 GB283.4 GB file
32K 311 GB · 128K 317 GB
IQ2_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
325 GB284.1 GB file
32K 323 GB · 128K 330 GB
IQ2_M
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
350 GB349.1 GB file
32K 349 GB · 128K 356 GB
IQ3_XXS
DeepSeek V4.1 Flash 1017
296 GB394.7 GB file
32K 296 GB · 128K 298 GB
Kimi K2 Instruct 0905
402 GB417.3 GB file
32K 400 GB · 128K 407 GB
IQ3_XS
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
427 GB420.7 GB file
32K 426 GB · 128K 433 GB
IQ3_S
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
Kimi K2 Instruct 0905
not listed
IQ3_M
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
466 GB467.5 GB file
32K 464 GB · 128K 471 GB
Q3_K_L
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
530 GB487.7 GB file
32K 529 GB · 128K 536 GB
IQ4_XS
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
556 GB547.2 GB file
32K 554 GB · 128K 561 GB
IQ4_NL
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
581 GB579.1 GB file
32K 580 GB · 128K 587 GB
Q4_1
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
581 GB642.9 GB file
32K 580 GB · 128K 587 GB
Q4_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
581 GB583.3 GB file
32K 580 GB · 128K 587 GB
Q5_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct 0905
710 GB707.0 GB file
32K 708 GB · 128K 715 GB
BF16
DeepSeek V4.1 Flash 1017
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
Kimi K2 Instruct 0905
2057 GB2053.2 GB file
32K 2055 GB · 128K 2062 GB
DeepSeek V4.1 Flash 1017
Ollama · Q4_K_M
ollama run hf.co/mrfakename/DeepSeek-V4.1-Flash-1017-GGUF:Q4_K_MKimi K2 Instruct 0905
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2-Instruct-0905-GGUF:Q4_K_M| Spec | DeepSeek V4.1 Flash 1017 | Kimi K2 Instruct 0905 |
|---|---|---|
| Publisher | DeepSeek | Moonshot AI |
| Parameters | 763.2B | 1026.4B |
| Active parameters | 16B per token | 33B per token |
| Architecture | DeepseekV41ForCausalLM | DeepseekV3ForCausalLM |
| Context | 1M tokens | 256K tokens |
| Modalities | Vision | Chat, Function-calling |
| License | MIT | Other |
| Released | Oct 2026 | Sep 2025 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct 0905?
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 102.7; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at coding; choose Kimi K2 Instruct 0905 for also does chat, function-calling.
Which needs less VRAM, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct 0905?
At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while Kimi K2 Instruct 0905 needs 619.7 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 K2 Instruct 0905 on a 16 GB GPU?
DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); Kimi K2 Instruct 0905 does not fit (smallest quant needs 283.7 GB).
Which has a longer context window, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct 0905?
DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and Kimi K2 Instruct 0905 supports 262,144 tokens.