Noometry

Model comparison

DeepSeek V4.1 Flash vs MiMo-V2-Flash

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 40.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

MiMo-V2-Flash Xiaomi

40.8

Rank #137 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and MiMo-V2-Flash in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 24.1.
  • The biggest single-benchmark swing is SciCode: 51.9% for DeepSeek V4.1 Flash and 25.9% for MiMo-V2-Flash.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashMiMo-V2-Flash
ProviderDeepSeekXiaomi
Noometry Index50.340.8
Released2026-09-092025-12-16
WeightsOpenOpen
Context window1M262K
Max output393K66K
Input $ / M tokens$0.15$0.14
Output $ / M tokens$0.60$0.28
Results tracked2521

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), MiMo-V2-Flash: 35.8 (#205)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena WebDev16201330
SciCode51.9%25.9%
LMArena Coding15111443
ALE-Bench1,092737.95

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), MiMo-V2-Flash: 24.1 (#155)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
CritPt14.3%0%
LMArena Hard Prompts14851420
NYT Connections (extended)89.6%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index155.01—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), MiMo-V2-Flash: 35.6 (#141)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Math14931396
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), MiMo-V2-Flash: 39.1 (#126)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Expert15051425

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), MiMo-V2-Flash: 51.1 (#109)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Non-English14521391
LMArena Chinese15061463
LMArena French14481429
LMArena Russian14731387
LMArena Spanish14991420
LMArena German—1395
LMArena Japanese—1324
LMArena Korean—1358

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), MiMo-V2-Flash: 73.7 (#115)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Instruction Following14751392

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), MiMo-V2-Flash: 43.0 (#106)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Longer Query14761409

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), MiMo-V2-Flash: 59.9 (#101)

BenchmarkDeepSeek V4.1 FlashMiMo-V2-Flash
LMArena Text14651411
LMArena Creative Writing14361375
LMArena Multi-Turn14601404
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than MiMo-V2-Flash?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 40.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or MiMo-V2-Flash?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

Is DeepSeek V4.1 Flash or MiMo-V2-Flash better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 35.8 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and MiMo-V2-Flash share?

18 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and MiMo-V2-Flash has 21.

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