Model comparison
DeepSeek-V3.2-Speciale vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where MiMo-V2.6-Pro leads 66.8 to 46.0.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 39.7 | 50.3 |
| Released | 2025-12-01 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 128K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.58 | $0.43 |
| Output $ / M tokens | $1.68 | $0.87 |
| Results tracked | 3 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
DeepSeek-V3.2-Speciale: 40.4 (#140), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1534 |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
DeepSeek-V3.2-Speciale: 32.9 (#73), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 26.6% |
| LMArena Hard Prompts | — | 1512 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | — | 70% |
| LMArena Math | — | 1494 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | — | 1543 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1493 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
DeepSeek-V3.2-Speciale: 46.0 (#222), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | DeepSeek-V3.2-Speciale | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1492 |
| LMArena Creative Writing | — | 1468 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1464 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.7 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 40.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and MiMo-V2.6-Pro share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and MiMo-V2.6-Pro has 19.