Model comparison
DeepSeek-V3.2-Speciale vs MiniMax M1
DeepSeek-V3.2-Speciale and MiniMax M1 score almost the same on the Noometry Index (39.1 vs 39.7), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
MiniMaxSummary
- The widest gap is in writing & preference, where MiniMax M1 leads 53.3 to 46.1.
- Both cost about the same: $0.58 input and $1.68 output per million tokens.
- MiniMax M1 accepts more context: 1M tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | MiniMax M1 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 39.1 | 39.7 |
| Released | 2025-12-01 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 128K | 1M |
| Max output | 128K | 40K |
| Input $ / M tokens | $0.58 | $0.40 |
| Output $ / M tokens | $1.68 | $2.20 |
| Results tracked | 3 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3.2-Speciale: 39.9 (#136), MiniMax M1: 39.2 (#149)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1359 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), MiniMax M1: 25.8 (#125)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1340 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, MiniMax M1: 34.8 (#152)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| LMArena Math | — | 1360 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, MiniMax M1: 35.7 (#168)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| LMArena Expert | — | 1316 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, MiniMax M1: 46.0 (#157)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| LMArena Non-English | — | 1320 |
| LMArena Chinese | — | 1361 |
| LMArena French | — | 1369 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1220 |
| LMArena Korean | — | 1263 |
| LMArena Russian | — | 1330 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, MiniMax M1: 69.5 (#169)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | — | 1312 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, MiniMax M1: 41.4 (#136)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | — | 69.4% |
| LMArena Longer Query | — | 1326 |
Writing & Preference MiniMax M1 leads
DeepSeek-V3.2-Speciale: 46.1 (#217), MiniMax M1: 53.3 (#155)
| Benchmark | DeepSeek-V3.2-Speciale | MiniMax M1 |
|---|---|---|
| LMArena Text | — | 1343 |
| LMArena Creative Writing | — | 1298 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1335 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than MiniMax M1?
DeepSeek-V3.2-Speciale and MiniMax M1 score almost the same on the Noometry Index (39.1 vs 39.7), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.2-Speciale or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.40 per million input tokens and $2.20 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or MiniMax M1 better for coding?
They score almost the same on coding (39.9 vs 39.2); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and MiniMax M1 share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and MiniMax M1 has 18.