MiniMax M3 vs Qwen3.8 27B
Qwen3.8 27B leads llmrun Score 121.5 to 111.0; only Qwen3.8 27B fits 24 GB (Q4_K_M); MiniMax M3 needs 119.2 GB even at its smallest quant.
Model A · MiniMax
MiniMax M3427.0B · 19.8B active · 1M context · Other · Jun 2026
Model B · Alibaba
Qwen3.8 27B27.8B · 256K context · Apache 2.0 · Aug 2026
Choose MiniMax M3 if you want…
Longer context window
1M vs 256K tokens
Choose Qwen3.8 27B if you want…
Higher llmrun Score
121.5 vs 111.0
Stronger at reasoning
124.1 vs 107.2
Stronger at math
117.5 vs 106.1
Ahead on the benchmarks
7 of 10 shared boards
Fits a 12 GB GPU
IQ3_XXS · 12 GB; MiniMax M3 needs 119.2 GB at its smallest quant
Fits a Mac 32 GB
Q4_K_M · 17.9 GB; MiniMax M3 needs 119.2 GB at its smallest quant
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
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Doesn't fit
smallest quant needs 8.8 GB
12 GB
RTX 3060 12GB · 12 GB tier
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
IQ3_XXS · ~20 tok/s
12 GB · up to 16Kfits
16 GB
RTX 5060 Ti 16GB · 16 GB tier
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q3_K_L · ~19 tok/s
15.4 GB · up to 16Kfits
24 GBreference
RTX 4090 · 24 GB tier
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q4_K_M · ~38 tok/s
17.9 GB · up to 64Kfits
32 GB
RTX 5090 · 32 GB tier
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q4_K_M · ~67 tok/s
17.9 GB · up to 256Kfits
48 GB
RTX A6000 · 48 GB tier
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q4_K_M · ~29 tok/s
17.9 GB · up to 256Kfits
Mac 32 GB
Mac Mini M4 · Macs
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q4_K_M · ~5 tok/s
17.9 GB · up to 128Kfits
Mac 64 GB
Mac Studio M4 Max · Macs
MiniMax M3
Doesn't fit
smallest quant needs 119.2 GB
Qwen3.8 27B
Q4_K_M · ~22 tok/s
17.9 GB · up to 256Kfits
Mac 128 GB
Mac Studio M4 Max · Macs
MiniMax M3
IQ2_XXS · ~38 tok/s
119.2 GB · up to 64K
Qwen3.8 27B
Q4_K_M · ~22 tok/s
17.9 GB · up to 256Kmore headroom
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
MiniMax M3
Qwen3.8 27B
Coding
MiniMax M3
Qwen3.8 27B
Agents
MiniMax M3
Qwen3.8 27B
no data
Math
MiniMax M3
Qwen3.8 27B
Science
MiniMax M3
Qwen3.8 27B
Reasoning
MiniMax M3
Qwen3.8 27B
MiniMax M3 · #22 of 92 open models · #19 of 88 that fit ≤512 GB
Qwen3.8 27B · #10 of 92 open models · #1 of 34 that fit 24 GB
MiniMax M3
1440.5#20/186 open
ArenaLMArena · Oct 2026
Qwen3.8 27B
1438.1#22/186 open
ArenaLMArena · Oct 2026
MiniMax M3
68.2#19/19 open
IndependentLiveBench · Jun 2026
Qwen3.8 27B
75.7#9/19 open
IndependentLiveBench · Jun 2026
MiniMax M3
74.5#17/19 open
IndependentLiveBench · Jun 2026
Qwen3.8 27B
80.0#11/19 open
IndependentLiveBench · Jun 2026
MiniMax M3
1481.7#16/50 open
ArenaLMArena · Oct 2026
Qwen3.8 27B
1592.8#10/50 open
ArenaLMArena · Oct 2026
MiniMax M3
77.0#19/19 open
IndependentLiveBench · Jun 2026
Qwen3.8 27B
86.2#11/19 open
IndependentLiveBench · Jun 2026
MiniMax M3
47.1%#16/65 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
46.6%#19/65 open
Lab-reportedEpoch AI · Aug 2026
MiniMax M3
3.7%#20/65 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
5.4%#15/65 open
Lab-reportedEpoch AI · Aug 2026
MiniMax M3
78.9%#24/68 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
88.0%#9/68 open
Lab-reportedEpoch AI · Aug 2026
MiniMax M3
33.7%#17/54 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
41.4%#7/54 open
Lab-reportedEpoch AI · Aug 2026
MiniMax M3
18.0%#13/26 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
16.0%#16/26 open
Lab-reportedEpoch AI · Aug 2026
13 more boards (other shared and single-model boards)
MiniMax M3
37.7%#10/16 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
47.5%#5/16 open
Lab-reportedEpoch AI · Aug 2026
MiniMax M3
55.0%#3/13 open
Lab-reportedEpoch AI · Jun 2026
Qwen3.8 27B
45.0%#7/13 open
Lab-reportedEpoch AI · Aug 2026
Only MiniMax M3 (9)
- GPQA Diamond90.9%
- AIME 2024/202571.1%
- SimpleBench45.8%
- FrontierCode14.7%
- Chess Puzzles14.0%
- ForecastBench61.4
- Mystery Game Puzzles8.0%
- Vending-Bench 22157.8
- ALE-Bench640.0
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
MiniMax M3
182 GB151.9 GB file
32K 185 GB · 128K 194 GB
Qwen3.8 27B
12.6 GB10.8 GB file
32K 13.9 GB · 128K 19.3 GB
Q3_K_S
MiniMax M3
187 GB187.3 GB file
32K 190 GB · 128K 199 GB
Qwen3.8 27B
12.9 GB12.7 GB file
32K 14.2 GB · 128K 19.6 GB
Q3_K_M
MiniMax M3
209 GB195.5 GB file
32K 212 GB · 128K 221 GB
Qwen3.8 27B
14.3 GB13.4 GB file
32K 15.6 GB · 128K 21.0 GB
Q4_0
MiniMax M3
214 GB243.6 GB file
32K 217 GB · 128K 226 GB
Qwen3.8 27B
14.6 GB~13.9 GB file
32K 16.0 GB · 128K 21.4 GB
Q4_K_M
MiniMax M3
257 GB264.9 GB file
32K 260 GB · 128K 269 GB
Qwen3.8 27B
17.4 GB16.5 GB file
32K 18.8 GB · 128K 24.1 GB
Q5_K_M
MiniMax M3
305 GB318.7 GB file
32K 308 GB · 128K 317 GB
Qwen3.8 27B
20.5 GB19.8 GB file
32K 21.9 GB · 128K 27.3 GB
Q6_K
MiniMax M3
353 GB355.3 GB file
32K 356 GB · 128K 365 GB
Qwen3.8 27B
23.7 GB22.0 GB file
32K 25.0 GB · 128K 30.4 GB
Q8_0
MiniMax M3
428 GB453.6 GB file
32K 430 GB · 128K 439 GB
Qwen3.8 27B
28.5 GB29.0 GB file
32K 29.9 GB · 128K 35.2 GB
17 more quants
IQ2_XXS
MiniMax M3
118 GB134.9 GB file
32K 121 GB · 128K 130 GB
Qwen3.8 27B
8.4 GB7.3 GB file
32K 9.7 GB · 128K 15.1 GB
IQ2_XS
MiniMax M3
129 GB129.5 GB file
32K 131 GB · 128K 140 GB
Qwen3.8 27B
9.1 GB9.1 GB file
32K 10.4 GB · 128K 15.8 GB
IQ2_S
MiniMax M3
134 GB132.1 GB file
32K 137 GB · 128K 146 GB
Qwen3.8 27B
9.4 GB8.4 GB file
32K 10.8 GB · 128K 16.1 GB
IQ2_M
MiniMax M3
145 GB135.1 GB file
32K 147 GB · 128K 157 GB
Qwen3.8 27B
10.1 GB10.5 GB file
32K 11.5 GB · 128K 16.8 GB
IQ3_XXS
MiniMax M3
166 GB160.3 GB file
32K 169 GB · 128K 178 GB
Qwen3.8 27B
11.5 GB10.9 GB file
32K 12.9 GB · 128K 18.2 GB
IQ3_XS
MiniMax M3
177 GB196.4 GB file
32K 179 GB · 128K 189 GB
Qwen3.8 27B
12.2 GB10.4 GB file
32K 13.6 GB · 128K 18.9 GB
IQ3_S
MiniMax M3
182 GB175.6 GB file
32K 185 GB · 128K 194 GB
Qwen3.8 27B
12.6 GB12.0 GB file
32K 13.9 GB · 128K 19.3 GB
IQ3_M
MiniMax M3
193 GB205.5 GB file
32K 195 GB · 128K 205 GB
Qwen3.8 27B
13.3 GB14.9 GB file
32K 14.6 GB · 128K 20.0 GB
Q3_K_L
MiniMax M3
219 GB205.0 GB file
32K 222 GB · 128K 231 GB
Qwen3.8 27B
15.0 GB14.1 GB file
32K 16.3 GB · 128K 21.7 GB
IQ4_XS
MiniMax M3
230 GB208.5 GB file
32K 233 GB · 128K 242 GB
Qwen3.8 27B
15.7 GB14.3 GB file
32K 17.0 GB · 128K 22.4 GB
IQ4_NL
MiniMax M3
241 GB212.7 GB file
32K 244 GB · 128K 253 GB
Qwen3.8 27B
16.4 GB17.4 GB file
32K 17.7 GB · 128K 23.1 GB
Q4_1
MiniMax M3
241 GB268.9 GB file
32K 244 GB · 128K 253 GB
Qwen3.8 27B
16.4 GB17.5 GB file
32K 17.7 GB · 128K 23.1 GB
Q4_K_S
MiniMax M3
241 GB248.6 GB file
32K 244 GB · 128K 253 GB
Qwen3.8 27B
16.4 GB15.4 GB file
32K 17.7 GB · 128K 23.1 GB
Q4_K_L
MiniMax M3
not listed
Qwen3.8 27B
17.8 GB18.8 GB file
32K 19.1 GB · 128K 24.5 GB
Q5_K_S
MiniMax M3
294 GB299.7 GB file
32K 297 GB · 128K 306 GB
Qwen3.8 27B
19.9 GB18.7 GB file
32K 21.2 GB · 128K 26.6 GB
Q5_K_L
MiniMax M3
not listed
Qwen3.8 27B
20.9 GB21.5 GB file
32K 22.2 GB · 128K 27.6 GB
BF16
MiniMax M3
855 GB852.9 GB file
32K 857 GB · 128K 866 GB
Qwen3.8 27B
56.3 GB54.7 GB file
32K 57.7 GB · 128K 63.0 GB
MiniMax M3
Ollama · Q4_K_M
ollama run hf.co/unsloth/MiniMax-M3-GGUF:Q4_K_MQwen3.8 27B
Ollama · Q4_K_M
ollama run hf.co/unsloth/Qwen3.8-27B-GGUF:Q4_K_M| Spec | MiniMax M3 | Qwen3.8 27B |
|---|---|---|
| Publisher | MiniMax | Alibaba |
| Parameters | 427.0B | 27.8B |
| Active parameters | 20B per token | — |
| Architecture | MiniMaxM3SparseForConditionalGeneration | Qwen3_5ForConditionalGeneration |
| Context | 1M tokens | 256K tokens |
| Modalities | Vision, Function-calling | Vision, Function-calling |
| License | Other | Apache 2.0 |
| Released | Jun 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, MiniMax M3 or Qwen3.8 27B?
Qwen3.8 27B leads llmrun Score 121.5 to 111.0; only Qwen3.8 27B fits 24 GB (Q4_K_M); MiniMax M3 needs 119.2 GB even at its smallest quant. Choose MiniMax M3 for longer context window; choose Qwen3.8 27B for higher llmrun Score and stronger at reasoning.
Which needs less VRAM, MiniMax M3 or Qwen3.8 27B?
At Q4_K_M, MiniMax M3 requires 256.7 GB while Qwen3.8 27B needs 17.4 GB, making Qwen3.8 27B the easier model to run on your local setup.
Can I run MiniMax M3 or Qwen3.8 27B on a 16 GB GPU?
MiniMax M3 does not fit (smallest quant needs 119.2 GB); Qwen3.8 27B fits at Q3_K_L.
Which has a longer context window, MiniMax M3 or Qwen3.8 27B?
MiniMax M3 supports 1,048,576 tokens and Qwen3.8 27B supports 262,144 tokens.