MiniMax M2.7 vs Qwen3 235B A22B Thinking 2507
MiniMax M2.7 and Qwen3 235B A22B Thinking 2507 match in llmrun Score, with values of 106.8 versus 108.1; neither fits 24 GB.
Model A · MiniMax
MiniMax M2.7228.7B · 11B active · 200K context · Other · Apr 2026
Model B · Alibaba
Qwen3 235B A22B Thinking 2507235.1B · 22.2B active · 256K context · Apache 2.0 · Jul 2025
Choose MiniMax M2.7 if you want…
Ahead on the benchmarks
3 of 4 shared boards
Newer release
Apr 2026 vs Jul 2025
Choose Qwen3 235B A22B Thinking 2507 if you want…
More permissive license
Apache 2.0 vs Other
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 M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
12 GB
RTX 3060 12GB · 12 GB tier
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
24 GBreference
RTX 4090 · 24 GB tier
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
32 GB
RTX 5090 · 32 GB tier
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
48 GB
RTX A6000 · 48 GB tier
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
Mac 32 GB
Mac Mini M4 · Macs
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
Mac 64 GB
Mac Studio M4 Max · Macs
MiniMax M2.7
Doesn't fit
smallest quant needs 65.3 GB
Qwen3 235B A22B Thinking 2507
Doesn't fit
smallest quant needs 72.4 GB
Mac 128 GB
Mac Studio M4 Max · Macs
MiniMax M2.7
Q3_K_L · ~37 tok/s
119.6 GB · up to 32Kfaster
Qwen3 235B A22B Thinking 2507
Q3_K_L · ~21 tok/s
122.4 GB · up to 32K
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
MiniMax M2.7
Qwen3 235B A22B Thinking 2507
Coding
MiniMax M2.7
Qwen3 235B A22B Thinking 2507
Science
MiniMax M2.7
Qwen3 235B A22B Thinking 2507
Reasoning
MiniMax M2.7
no data
Qwen3 235B A22B Thinking 2507
MiniMax M2.7 · #34 of 92 open models · #18 of 71 that fit ≤192 GB
Qwen3 235B A22B Thinking 2507 · #31 of 92 open models · #15 of 71 that fit ≤192 GB
Benchmarks
4 shared boards: MiniMax M2.7 leads 3, Qwen3 235B A22B Thinking 2507 leads 1 · Benchmarks imported Oct 2026
MiniMax M2.7
1415.0#39/186 open
ArenaLMArena · Oct 2026
Qwen3 235B A22B Thinking 2507
1400.0#48/186 open
ArenaLMArena · Oct 2026
MiniMax M2.7
47.0%#17/65 open
Lab-reportedEpoch AI · Mar 2026
Qwen3 235B A22B Thinking 2507
42.4%#26/65 open
Lab-reportedEpoch AI · Jul 2025
MiniMax M2.7
37.0%#30/46 open
IndependentEpoch AI · Mar 2026
Qwen3 235B A22B Thinking 2507
41.0%#20/46 open
IndependentEpoch AI · Jul 2025
MiniMax M2.7
0.6%#37/65 open
Lab-reportedEpoch AI · Mar 2026
Qwen3 235B A22B Thinking 2507
0.0%#62/65 open
Lab-reportedEpoch AI · Jul 2025
14 more boards (other shared and single-model boards)
Only MiniMax M2.7 (4)
- Terminal-Bench45.1%
- LMArena WebDev1397.9
- ALE-Bench599.3
- ProofBench3.0%
Only Qwen3 235B A22B Thinking 2507 (10)
- GPQA Diamond80.0%
- AIME 2024/202586.7%
- MMLU-Pro84.5%
- SimpleQA40.4%
- Chess Puzzles12.0%
- DTBench80.3%
- LMCA29.3%
- Fiction.LiveBench75.0%
- Mystery Game Puzzles9.0%
- Vending-Bench 2-11.3
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
MiniMax M2.7
97.8 GB80.1 GB file
32K 102 GB · 128K 114 GB
Qwen3 235B A22B Thinking 2507
100 GB85.7 GB file
32K 103 GB · 128K 113 GB
Q3_K_S
MiniMax M2.7
101 GB93.6 GB file
32K 105 GB · 128K 117 GB
Qwen3 235B A22B Thinking 2507
103 GB101.4 GB file
32K 106 GB · 128K 116 GB
Q3_K_M
MiniMax M2.7
112 GB101.2 GB file
32K 116 GB · 128K 128 GB
Qwen3 235B A22B Thinking 2507
115 GB112.4 GB file
32K 118 GB · 128K 128 GB
Q4_0
MiniMax M2.7
115 GB129.8 GB file
32K 119 GB · 128K 131 GB
Qwen3 235B A22B Thinking 2507
118 GB133.1 GB file
32K 121 GB · 128K 130 GB
Q4_K_M
MiniMax M2.7
138 GB140.2 GB file
32K 142 GB · 128K 154 GB
Qwen3 235B A22B Thinking 2507
142 GB142.2 GB file
32K 145 GB · 128K 154 GB
Q5_K_M
MiniMax M2.7
164 GB168.8 GB file
32K 167 GB · 128K 180 GB
Qwen3 235B A22B Thinking 2507
168 GB166.8 GB file
32K 171 GB · 128K 180 GB
Q6_K
MiniMax M2.7
189 GB188.1 GB file
32K 193 GB · 128K 206 GB
Qwen3 235B A22B Thinking 2507
194 GB193.0 GB file
32K 197 GB · 128K 207 GB
Q8_0
MiniMax M2.7
229 GB243.1 GB file
32K 233 GB · 128K 246 GB
Qwen3 235B A22B Thinking 2507
236 GB249.9 GB file
32K 239 GB · 128K 248 GB
19 more quants
IQ2_XXS
MiniMax M2.7
63.5 GB65.4 GB file
32K 67.4 GB · 128K 79.8 GB
Qwen3 235B A22B Thinking 2507
not listed
IQ2_XS
MiniMax M2.7
69.2 GB67.9 GB file
32K 73.1 GB · 128K 85.6 GB
Qwen3 235B A22B Thinking 2507
71.0 GB65.6 GB file
32K 74.0 GB · 128K 83.5 GB
IQ2_S
MiniMax M2.7
72.0 GB69.1 GB file
32K 75.9 GB · 128K 88.4 GB
Qwen3 235B A22B Thinking 2507
74.0 GB66.1 GB file
32K 76.9 GB · 128K 86.4 GB
IQ2_M
MiniMax M2.7
77.7 GB70.1 GB file
32K 81.6 GB · 128K 94.1 GB
Qwen3 235B A22B Thinking 2507
79.8 GB78.6 GB file
32K 82.8 GB · 128K 92.3 GB
IQ3_XXS
MiniMax M2.7
89.2 GB80.1 GB file
32K 93.1 GB · 128K 106 GB
Qwen3 235B A22B Thinking 2507
91.6 GB93.1 GB file
32K 94.6 GB · 128K 104 GB
Q2_K_S
MiniMax M2.7
92.0 GB77.6 GB file
32K 95.9 GB · 128K 108 GB
Qwen3 235B A22B Thinking 2507
not listed
IQ3_XS
MiniMax M2.7
94.9 GB104.1 GB file
32K 98.8 GB · 128K 111 GB
Qwen3 235B A22B Thinking 2507
97.5 GB96.9 GB file
32K 100 GB · 128K 110 GB
IQ3_S
MiniMax M2.7
97.8 GB83.6 GB file
32K 102 GB · 128K 114 GB
Qwen3 235B A22B Thinking 2507
not listed
IQ3_M
MiniMax M2.7
103 GB108.8 GB file
32K 107 GB · 128K 120 GB
Qwen3 235B A22B Thinking 2507
106 GB107.3 GB file
32K 109 GB · 128K 119 GB
Q3_K_L
MiniMax M2.7
118 GB108.5 GB file
32K 122 GB · 128K 134 GB
Qwen3 235B A22B Thinking 2507
121 GB111.2 GB file
32K 124 GB · 128K 133 GB
IQ4_XS
MiniMax M2.7
123 GB108.4 GB file
32K 127 GB · 128K 140 GB
Qwen3 235B A22B Thinking 2507
127 GB125.5 GB file
32K 130 GB · 128K 139 GB
IQ4_NL
MiniMax M2.7
129 GB110.8 GB file
32K 133 GB · 128K 146 GB
Qwen3 235B A22B Thinking 2507
133 GB133.1 GB file
32K 136 GB · 128K 145 GB
Q4_1
MiniMax M2.7
129 GB143.5 GB file
32K 133 GB · 128K 146 GB
Qwen3 235B A22B Thinking 2507
133 GB147.2 GB file
32K 136 GB · 128K 145 GB
Q4_K_S
MiniMax M2.7
129 GB131.0 GB file
32K 133 GB · 128K 146 GB
Qwen3 235B A22B Thinking 2507
133 GB133.7 GB file
32K 136 GB · 128K 145 GB
Q4_K_L
MiniMax M2.7
141 GB139.3 GB file
32K 145 GB · 128K 157 GB
Qwen3 235B A22B Thinking 2507
not listed
Q5_0
MiniMax M2.7
143 GB157.5 GB file
32K 147 GB · 128K 160 GB
Qwen3 235B A22B Thinking 2507
not listed
Q5_1
MiniMax M2.7
158 GB171.7 GB file
32K 162 GB · 128K 174 GB
Qwen3 235B A22B Thinking 2507
not listed
Q5_K_S
MiniMax M2.7
158 GB159.0 GB file
32K 162 GB · 128K 174 GB
Qwen3 235B A22B Thinking 2507
162 GB161.9 GB file
32K 165 GB · 128K 175 GB
BF16
MiniMax M2.7
458 GB457.5 GB file
32K 462 GB · 128K 474 GB
Qwen3 235B A22B Thinking 2507
471 GB470.3 GB file
32K 474 GB · 128K 483 GB
MiniMax M2.7
Ollama · Q4_K_M
ollama run hf.co/unsloth/MiniMax-M2.7-GGUF:Q4_K_MQwen3 235B A22B Thinking 2507
Ollama · Q4_K_M
ollama run hf.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF:Q4_K_M| Spec | MiniMax M2.7 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Publisher | MiniMax | Alibaba |
| Parameters | 228.7B | 235.1B |
| Active parameters | 11B per token | 22B per token |
| Architecture | MiniMaxM2ForCausalLM | Qwen3MoeForCausalLM |
| Context | 200K tokens | 256K tokens |
| Modalities | Chat, Function-calling | Chat, Function-calling |
| License | Other | Apache 2.0 |
| Released | Apr 2026 | Jul 2025 |
Frequently Asked Questions
Which is better, MiniMax M2.7 or Qwen3 235B A22B Thinking 2507?
MiniMax M2.7 and Qwen3 235B A22B Thinking 2507 match in llmrun Score, with values of 106.8 versus 108.1; neither fits 24 GB. Choose MiniMax M2.7 for ahead on the benchmarks and newer release; choose Qwen3 235B A22B Thinking 2507 for more permissive license.
Which needs less VRAM, MiniMax M2.7 or Qwen3 235B A22B Thinking 2507?
At Q4_K_M, MiniMax M2.7 requires 137.8 GB while Qwen3 235B A22B Thinking 2507 needs 141.6 GB, making MiniMax M2.7 the easier model to run on your local setup.
Can I run MiniMax M2.7 or Qwen3 235B A22B Thinking 2507 on a 16 GB GPU?
MiniMax M2.7 does not fit (smallest quant needs 65.3 GB); Qwen3 235B A22B Thinking 2507 does not fit (smallest quant needs 72.4 GB).
Which has a longer context window, MiniMax M2.7 or Qwen3 235B A22B Thinking 2507?
MiniMax M2.7 supports 204,800 tokens and Qwen3 235B A22B Thinking 2507 supports 262,144 tokens.