DeepSeek V4.1 Flash 1017 vs Kimi K2 Instruct
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 100.1; 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 Instruct1026.4B · 32.9B active · 128K context · Other · Jul 2025
Choose DeepSeek V4.1 Flash 1017 if you want…
Higher llmrun Score
134.4 vs 100.1
Stronger at reasoning
137.1 vs 92.8
Stronger at agents
135.7 vs 101.6
Lighter on memory
458.3 vs 619.7 GB at Q4_K_M
Longer context window
1M vs 128K tokens
Also does vision
Kimi K2 Instruct doesn't list it
Choose Kimi K2 Instruct 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
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
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
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
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
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
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
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
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
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
Coding
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct
Agents
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct
Math
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct
no data
Science
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct
no data
Reasoning
DeepSeek V4.1 Flash 1017
Kimi K2 Instruct
DeepSeek V4.1 Flash 1017 · #2 of 106 open models · #1 of 102 that fit ≤512 GB
Kimi K2 Instruct · #57 of 106 open models · #53 of 102 that fit ≤640 GB
34 more boards (other shared and single-model boards)
Only DeepSeek V4.1 Flash 1017 (23)
- 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
- 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
Only Kimi K2 Instruct (11)
- SWE-bench Verified65.4%
- LMArena Text1417.8
- Terminal-Bench27.8%
- MMLU-Pro81.0%
- Aider Polyglot59.1%
- SWE-bench Bash Only43.8%
- SimpleBench26.3%
- WeirdML39.4%
- Fiction.LiveBench61.1%
- ForecastBench62.2
- GSO-Bench4.9%
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
DeepSeek V4.1 Flash 1017
325 GB264.5 GB file
32K 325 GB · 128K 326 GB
Kimi K2 Instruct
440 GB373.2 GB file
32K 439 GB · 128K 446 GB
Q3_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
453 GB442.4 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
504 GB489.4 GB file
32K 503 GB · 128K 510 GB
Q4_0
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
517 GB580.6 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
620 GB620.8 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
735 GB728.3 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
851 GB842.6 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
1030 GB1091.1 GB file
32K 1029 GB · 128K 1036 GB
12 more quants
IQ2_XXS
DeepSeek V4.1 Flash 1017
210 GB300.5 GB file
32K 211 GB · 128K 212 GB
Kimi K2 Instruct
286 GB328.8 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
not listed
IQ2_M
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
350 GB347.1 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
402 GB416.6 GB file
32K 400 GB · 128K 407 GB
IQ3_S
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
Kimi K2 Instruct
not listed
Q3_K_L
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
530 GB530.5 GB file
32K 529 GB · 128K 536 GB
IQ4_XS
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
556 GB546.5 GB file
32K 554 GB · 128K 561 GB
IQ4_NL
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
581 GB578.5 GB file
32K 580 GB · 128K 587 GB
Q4_1
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
581 GB642.5 GB file
32K 580 GB · 128K 587 GB
Q4_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
581 GB582.7 GB file
32K 580 GB · 128K 587 GB
Q5_K_S
DeepSeek V4.1 Flash 1017
not listed
Kimi K2 Instruct
710 GB706.6 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
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
Ollama · Q4_K_M
ollama run hf.co/unsloth/Kimi-K2-Instruct-GGUF:Q4_K_M| Spec | DeepSeek V4.1 Flash 1017 | Kimi K2 Instruct |
|---|---|---|
| Publisher | DeepSeek | Moonshot AI |
| Parameters | 763.2B | 1026.4B |
| Active parameters | 16B per token | 33B per token |
| Architecture | DeepseekV41ForCausalLM | DeepseekV3ForCausalLM |
| Context | 1M tokens | 128K tokens |
| Modalities | Vision | Chat, Function-calling |
| License | MIT | Other |
| Released | Oct 2026 | Jul 2025 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct?
DeepSeek V4.1 Flash 1017 leads llmrun Score 134.4 to 100.1; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for higher llmrun Score and stronger at reasoning; choose Kimi K2 Instruct for also does chat, function-calling.
Which needs less VRAM, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct?
At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while Kimi K2 Instruct 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 on a 16 GB GPU?
DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); Kimi K2 Instruct does not fit (smallest quant needs 283.7 GB).
Which has a longer context window, DeepSeek V4.1 Flash 1017 or Kimi K2 Instruct?
DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and Kimi K2 Instruct supports 131,072 tokens.