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.

DeepSeek-V3.2-Speciale DeepSeek

39.7

Rank #162 Reported

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

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 and MiMo-V2.6-Pro specifications
DeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
ProviderDeepSeekXiaomi
Noometry Index39.750.3
Released2025-12-012026-09-21
WeightsOpenOpen
Context window128K1.05M
Max output128K131K
Input $ / M tokens$0.58$0.43
Output $ / M tokens$1.68$0.87
Results tracked319

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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)

Coding benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
LMArena WebDev—1629
SciCode—60.9%
WeirdML46.7%—
LMArena Coding—1534
ALE-Bench—1,158

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 37.5 (#35)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-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)

Reasoning benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
SimpleBench52.6%—
CritPt—26.6%
LMArena Hard Prompts—1512

Math Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 54.5 (#45)

Math benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
ProofBench—70%
LMArena Math—1494

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 43.5 (#92)

Knowledge benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
LMArena Expert—1543

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 40.8 (#43)

Multimodal benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
LMArena Vision—1264

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 56.9 (#14)

Multilingual benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-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)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
LMArena Instruction Following—1493

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, MiMo-V2.6-Pro: 46.0 (#27)

Long Context benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-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)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.2-SpecialeMiMo-V2.6-Pro
LMArena Text—1492
LMArena Creative Writing—1468
EQ-Bench Creative Writing1276—
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.

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