Noometry

Model comparison

DeepSeek V4.1 Flash vs MiniMax-M2.5

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.3 on the Noometry Index.

Last verified . 23 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Summary

  • They share 23 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and MiniMax-M2.5 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 26.9.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 16.8% for MiniMax-M2.5.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 205K.

Side by side

DeepSeek V4.1 FlashMiniMax-M2.5
ProviderDeepSeekMiniMax
Noometry Index52.838.3
Released2026-09-092026-02-12
WeightsOpenOpen
Context window1M205K
Max output393K131K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.60$1.20
Results tracked3733

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), MiniMax-M2.5: 48.1 (#58)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena WebDev16191387
LMArena Coding15061381
ALE-Bench1,092618.17
SWE-bench Verified (bash only)—75.8%
SWE-bench Multilingual—68.3%
SciCode51.9%—

Agentic & Tool Use Too close to call

DeepSeek V4.1 Flash: 31.2 (#69), MiniMax-M2.5: 30.4 (#77)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
Terminal-Bench—42.7%
APEX-Agents39.5%—
GDP.pdf19.8%—
Vending-Bench 2—-23.16

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), MiniMax-M2.5: 17.5 (#292)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
NYT Connections (extended)89.6%16.8%
LMArena Hard Prompts14831372
Epoch Capabilities Index154.9146.68
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
ARC-AGI-1—63.7%
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), MiniMax-M2.5: 26.9 (#253)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
ProofBench54%4%
LMArena Math14771378
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), MiniMax-M2.5: 39.2 (#135)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Expert15061379
GPQA Diamond89.8%—
Vectara Hallucination Rate—9.1%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), MiniMax-M2.5: —

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), MiniMax-M2.5: 47.1 (#152)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Non-English14481338
LMArena Chinese14971393
LMArena French14521362
LMArena German14841362
LMArena Japanese14121171
LMArena Korean14521232
LMArena Russian14711358
LMArena Spanish14591354

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), MiniMax-M2.5: 71.5 (#148)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Instruction Following14741353

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), MiniMax-M2.5: 37.5 (#216)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Longer Query14751366
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), MiniMax-M2.5: 53.9 (#153)

BenchmarkDeepSeek V4.1 FlashMiniMax-M2.5
LMArena Text14621359
LMArena Creative Writing14351331
EQ-Bench Creative Writing15401361
LMArena Multi-Turn14571364

Frequently asked questions

Is DeepSeek V4.1 Flash better than MiniMax-M2.5?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.3 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or MiniMax-M2.5?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.

Is DeepSeek V4.1 Flash or MiniMax-M2.5 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 48.1 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 205K.

How many benchmarks do DeepSeek V4.1 Flash and MiniMax-M2.5 share?

23 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and MiniMax-M2.5 has 33.

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