DeepSeek V4.1 Flash vs MiMo V2.6 Pro RL
MiMo V2.6 Pro RL leads llmrun Score 134.9 to 129.1; neither fits 24 GB.
Model A · DeepSeek
DeepSeek V4.1 Flash763.2B · 188B active · 1M context · MIT · Sep 2026
Model B · Xiaomi
MiMo V2.6 Pro RL1020B · 42B active · 1M context · MIT · Sep 2026
Choose DeepSeek V4.1 Flash if you want…
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…
Higher llmrun Score
134.9 vs 129.1
Stronger at science
139.8 vs 122.9
Also does chat
DeepSeek V4.1 Flash 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
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
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
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
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
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
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
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
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
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
MiMo V2.6 Pro RL
Coding
DeepSeek V4.1 Flash
MiMo V2.6 Pro RL
Math
DeepSeek V4.1 Flash
MiMo V2.6 Pro RL
no data
Science
DeepSeek V4.1 Flash
MiMo V2.6 Pro RL
Reasoning
DeepSeek V4.1 Flash
MiMo V2.6 Pro RL
no data
DeepSeek V4.1 Flash · #6 of 94 open models · #4 of 90 that fit ≤512 GB
MiMo V2.6 Pro RL · #1 of 94 open models · #1 of 90 that fit ≤640 GB
Benchmarks
5 shared boards: DeepSeek V4.1 Flash leads 0, MiMo V2.6 Pro RL leads 3 · Benchmarks imported Oct 2026
DeepSeek V4.1 Flash
1474.6#5/187 open
ArenaLMArena · Oct 2026
MiMo V2.6 Pro RL
1479.2#2/187 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash
1618.4#7/52 open
ArenaLMArena · Oct 2026
MiMo V2.6 Pro RL
1624.8#5/52 open
ArenaLMArena · Oct 2026
DeepSeek V4.1 Flash
51.8%#5/66 open
Lab-reportedEpoch AI · Sep 2026
MiMo V2.6 Pro RL
60.9%#1/66 open
Lab-reportedEpoch AI · Sep 2026
DeepSeek V4.1 Flash
14.3%#8/66 open
Lab-reportedEpoch AI · Sep 2026
MiMo V2.6 Pro RL
26.6%#1/66 open
Lab-reportedEpoch AI · Sep 2026
DeepSeek V4.1 Flash
54.0%#6/26 open
Lab-reportedEpoch AI · Sep 2026
MiMo V2.6 Pro RL
70.0%#3/26 open
Lab-reportedEpoch AI · Sep 2026
18 more boards (other shared and single-model boards)
DeepSeek V4.1 Flash
1092.3#8/43 open
Lab-reportedEpoch AI · Sep 2026
MiMo V2.6 Pro RL
1158.1#6/43 open
Lab-reportedEpoch AI · Sep 2026
DeepSeek V4.1 Flash
39.5%#9/16 open
Lab-reportedEpoch AI · Sep 2026
MiMo V2.6 Pro RL
59.5%#1/16 open
Lab-reportedEpoch AI · Sep 2026
Only DeepSeek V4.1 Flash (16)
- GPQA Diamond89.8%
- LiveBench Coding80.0
- LiveBench Reasoning86.7
- AIME 2024/202598.3%
- FrontierMath67.4%
- LiveBench Math93.3
- ARC-AGI-272.9%
- ARC-AGI94.5%
- SimpleQA42.9%
- FrontierMath Tier 426.8%
- FrontierCode43.9%
- DTBench89.9%
- LMCA47.0%
- Furniture Assembly34.2%
- Mystery Game Puzzles43.0%
- Surface Evolver Bench46.3%
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
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
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
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
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
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
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
764 GB508.0 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
3 more quants
IQ2_XXS
DeepSeek V4.1 Flash
210 GB~209.9 GB file
32K 211 GB · 128K 212 GB
MiMo V2.6 Pro RL
not listed
IQ3_XS
DeepSeek V4.1 Flash
315 GB434.0 GB file
32K 316 GB · 128K 317 GB
MiMo V2.6 Pro RL
not listed
BF16
DeepSeek V4.1 Flash
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
Ollama · Q4_K_M
ollama run hf.co/vcruz305/DeepSeek-V4.1-Flash-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 | MiMo V2.6 Pro RL |
|---|---|---|
| Publisher | DeepSeek | Xiaomi |
| Parameters | 763.2B | 1020B |
| Active parameters | 188B per token | 42B per token |
| Architecture | DeepseekV41ForCausalLM | MiMoV2ForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | MIT | MIT |
| Released | Sep 2026 | Sep 2026 |
Frequently Asked Questions
Which is better, DeepSeek V4.1 Flash or MiMo V2.6 Pro RL?
MiMo V2.6 Pro RL leads llmrun Score 134.9 to 129.1; neither fits 24 GB. Choose DeepSeek V4.1 Flash for lighter on memory and also does vision; choose MiMo V2.6 Pro RL for higher llmrun Score and stronger at science.
Which needs less VRAM, DeepSeek V4.1 Flash or MiMo V2.6 Pro RL?
At Q4_K_M, DeepSeek V4.1 Flash requires 458.3 GB while MiMo V2.6 Pro RL needs 612.5 GB, making DeepSeek V4.1 Flash the easier model to run on your local setup.
Can I run DeepSeek V4.1 Flash or MiMo V2.6 Pro RL on a 16 GB GPU?
DeepSeek V4.1 Flash 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 or MiMo V2.6 Pro RL?
DeepSeek V4.1 Flash supports 1,048,576 tokens and MiMo V2.6 Pro RL supports 1,048,576 tokens.