Model comparison

DeepSeek V4.1 Flash vs o1-mini

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 33.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

o1-mini OpenAI

33.7

Rank #230 Confirmed

Summary

  • They share 15 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and o1-mini 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 8.9.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 Flash and o1-mini specifications
DeepSeek V4.1 Flasho1-mini
ProviderDeepSeekOpenAI
Noometry Index50.333.7
Released2026-09-092024-09-12
WeightsOpenProprietary
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked2539

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), o1-mini: 35.1 (#218)

Coding benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Coding15111362
Aider Polyglot—32.9%
LMArena WebDev1620—
SciCode51.9%—
WeirdML—36.3%
LiveBench Coding—48%
ALE-Bench1,092—
HumanEval+—89%
MBPP+—78.8%

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, o1-mini: 24.3 (#112)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
Cybench—10%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), o1-mini: 8.9 (#340)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Hard Prompts14851333
Epoch Capabilities Index155.01135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
NYT Connections (extended)89.6%—
ARC-AGI-1—14%
CritPt14.3%—
LiveBench Reasoning—72.3%
DTBench89.9%—
LiveBench Data Analysis—57.9%
LMCA47%—
Surface Evolver Bench46.3%—
LiveBench—57.8%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), o1-mini: 33.7 (#168)

Math benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Math14931358
OTIS Mock AIME 2024-2025—46.9%
ProofBench54%—
LiveBench Math—62%
MATH Level 5—89.2%
FrontierMath (Feb 2025 set)—1.7%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), o1-mini: 34.8 (#180)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Expert15051316
GPQA Diamond—62.4%
Confabulations—18.6%

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), o1-mini: 43.8 (#177)

Multilingual benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Non-English14521289
LMArena Chinese15061314
LMArena French14481292
LMArena Russian14731283
LMArena Spanish14991302
LMArena German—1278
LMArena Japanese—1245
LMArena Korean—1223

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), o1-mini: 67.0 (#200)

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Instruction Following14751304
LiveBench Instruction Following—65.4%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), o1-mini: 40.1 (#156)

Long Context benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Longer Query14761321

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), o1-mini: 48.6 (#196)

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 Flasho1-mini
LMArena Text14651317
LMArena Creative Writing14361244
LMArena Multi-Turn14601314
Short-Story Creative Writing—64.9%
EQ-Bench Creative Writing1540—
LiveBench Language—40.9%

Frequently asked questions

Is DeepSeek V4.1 Flash better than o1-mini?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 33.7 on the Noometry Index.

Is DeepSeek V4.1 Flash or o1-mini better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 35.1 in the Noometry coding category.

How many benchmarks do DeepSeek V4.1 Flash and o1-mini share?

15 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and o1-mini has 39.

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