DeepSeek V4.1 Flash 1017 vs MiMo V2.6 Pro RL
DeepSeek V4.1 Flash 1017 and MiMo V2.6 Pro RL match in llmrun Score, with values of 133.2 versus 133.2; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4.1 Flash 1017763.2B · 16B active · 1M context · MIT · Oct 2026
Model B · Xiaomi
MiMo V2.6 Pro RL1020B · 42B active · 1M context · MIT · Sep 2026
Choose DeepSeek V4.1 Flash 1017 if you want…
Ahead on the benchmarks
3 of 3 shared boards
Lighter on memory
458.3 vs 612.5 GB at Q4_K_M
Also does vision
MiMo V2.6 Pro RL doesn't list it
Choose MiMo V2.6 Pro RL 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
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
12 GB
RTX 3060 12GB · 12 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
24 GBreference
RTX 4090 · 24 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
32 GB
RTX 5090 · 32 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
48 GB
RTX A6000 · 48 GB tier
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 32 GB
Mac Mini M4 · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 64 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 GB
Mac 128 GB
Mac Studio M4 Max · Macs
DeepSeek V4.1 Flash 1017
Doesn't fit
smallest quant needs 210.4 GB
MiMo V2.6 Pro RL
Doesn't fit
smallest quant needs 435.6 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
MiMo V2.6 Pro RL
Coding
DeepSeek V4.1 Flash 1017
no data
MiMo V2.6 Pro RL
Agents
DeepSeek V4.1 Flash 1017
no data
MiMo V2.6 Pro RL
Math
DeepSeek V4.1 Flash 1017
MiMo V2.6 Pro RL
no data
Science
DeepSeek V4.1 Flash 1017
no data
MiMo V2.6 Pro RL
Reasoning
DeepSeek V4.1 Flash 1017
MiMo V2.6 Pro RL
no data
DeepSeek V4.1 Flash 1017 · #1 of 101 open models · #1 of 98 that fit ≤512 GB
MiMo V2.6 Pro RL · #2 of 101 open models · #2 of 98 that fit ≤640 GB
Benchmarks
3 shared boards: DeepSeek V4.1 Flash 1017 leads 3, MiMo V2.6 Pro RL leads 0 · Benchmarks imported Oct 2026
DeepSeek V4.1 Flash 1017
96.0#1/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
81.5#6/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
50.9#1/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
47.5#2/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
89.1#2/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
79.6#8/17 open
IndependentLiveBench · Oct 2026
18 more boards (other shared and single-model boards)
DeepSeek V4.1 Flash 1017
1665.0#1/55 open
ArenaLMArena · Oct 2026
MiMo V2.6 Pro RL
1625.4#6/55 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash 1017
76.0#5/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
88.0#2/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
79.5#1/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
72.3#9/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
83.4#1/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
78.5#3/17 open
IndependentLiveBench · Oct 2026
DeepSeek V4.1 Flash 1017
79.5#3/17 open
IndependentLiveBench · Oct 2026
MiMo V2.6 Pro RL
76.7#6/17 open
IndependentLiveBench · Oct 2026
Only DeepSeek V4.1 Flash 1017 (7)
- GPQA Diamond93.2%
- AIME 2024/202599.4%
- FrontierMath71.2%
- SimpleQA42.5%
- FrontierMath Tier 446.3%
- Chess Puzzles46.0%
- Mystery Game Puzzles49.0%
Only MiMo V2.6 Pro RL (6)
- LMArena Text1479.5
- SciCode60.9%
- APEX-Agents54.4%
- CritPt26.6%
- ALE-Bench1158.1
- ProofBench70.0%
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
MiMo V2.6 Pro RL
434 GB418.8 GB file
32K 437 GB · 128K 448 GB
Q3_K_M
DeepSeek V4.1 Flash 1017
372 GB347.3 GB file
32K 373 GB · 128K 374 GB
MiMo V2.6 Pro RL
498 GB~497.3 GB file
32K 501 GB · 128K 512 GB
Q4_0
DeepSeek V4.1 Flash 1017
not listed
MiMo V2.6 Pro RL
511 GB~510.0 GB file
32K 514 GB · 128K 524 GB
Q4_K_M
DeepSeek V4.1 Flash 1017
458 GB444.7 GB file
32K 459 GB · 128K 460 GB
MiMo V2.6 Pro RL
613 GB~612.0 GB file
32K 616 GB · 128K 626 GB
Q5_K_M
DeepSeek V4.1 Flash 1017
544 GB~543.8 GB file
32K 545 GB · 128K 546 GB
MiMo V2.6 Pro RL
727 GB~726.8 GB file
32K 731 GB · 128K 741 GB
Q6_K
DeepSeek V4.1 Flash 1017
630 GB~629.6 GB file
32K 630 GB · 128K 632 GB
MiMo V2.6 Pro RL
842 GB~841.5 GB file
32K 845 GB · 128K 856 GB
Q8_0
DeepSeek V4.1 Flash 1017
764 GB~763.2 GB file
32K 764 GB · 128K 765 GB
MiMo V2.6 Pro RL
1021 GB~1020.0 GB file
32K 1024 GB · 128K 1034 GB
5 more quants
IQ2_XXS
DeepSeek V4.1 Flash 1017
210 GB300.5 GB file
32K 211 GB · 128K 212 GB
MiMo V2.6 Pro RL
not listed
IQ2_XS
DeepSeek V4.1 Flash 1017
229 GB~229.0 GB file
32K 230 GB · 128K 231 GB
MiMo V2.6 Pro RL
not listed
IQ3_XXS
DeepSeek V4.1 Flash 1017
296 GB394.7 GB file
32K 296 GB · 128K 298 GB
MiMo V2.6 Pro RL
not listed
IQ3_S
DeepSeek V4.1 Flash 1017
325 GB423.6 GB file
32K 325 GB · 128K 326 GB
MiMo V2.6 Pro RL
not listed
BF16
DeepSeek V4.1 Flash 1017
1527 GB~1526.4 GB file
32K 1527 GB · 128K 1528 GB
MiMo V2.6 Pro RL
2041 GB~2040.0 GB file
32K 2044 GB · 128K 2054 GB
DeepSeek V4.1 Flash 1017
Ollama · Q4_K_M
ollama run hf.co/mrfakename/DeepSeek-V4.1-Flash-1017-GGUF:Q4_K_MMiMo V2.6 Pro RL
Ollama · Q4_K_M
ollama run hf.co/ggml-org/MiMo-V2.6-Pro-RL-GGUF| Spec | DeepSeek V4.1 Flash 1017 | MiMo V2.6 Pro RL |
|---|---|---|
| Publisher | DeepSeek | Xiaomi |
| Parameters | 763.2B | 1020B |
| Active parameters | 16B per token | 42B per token |
| Architecture | DeepseekV41ForCausalLM | MiMoV2ForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Vision | Chat, Function-calling |
| License | MIT | MIT |
| Released | Oct 2026 | Sep 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash 1017 or MiMo V2.6 Pro RL?
DeepSeek V4.1 Flash 1017 and MiMo V2.6 Pro RL match in llmrun Score, with values of 133.2 versus 133.2; neither fits 24 GB. Choose DeepSeek V4.1 Flash 1017 for ahead on the benchmarks and lighter on memory; choose MiMo V2.6 Pro RL for also does chat, function-calling.
Which needs less VRAM, DeepSeek V4.1 Flash 1017 or MiMo V2.6 Pro RL?
At Q4_K_M, DeepSeek V4.1 Flash 1017 requires 458.3 GB while MiMo V2.6 Pro RL needs 612.5 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 MiMo V2.6 Pro RL on a 16 GB GPU?
DeepSeek V4.1 Flash 1017 does not fit (smallest quant needs 210.4 GB); MiMo V2.6 Pro RL does not fit (smallest quant needs 435.6 GB).
Which has a longer context window, DeepSeek V4.1 Flash 1017 or MiMo V2.6 Pro RL?
DeepSeek V4.1 Flash 1017 supports 1,048,576 tokens and MiMo V2.6 Pro RL supports 1,048,576 tokens.