Noometry

Model comparison

DeepSeek V4.1 Flash vs GPT-4.1 mini

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 33.6 on the Noometry Index.

Last verified . 28 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Summary

  • They share 28 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and GPT-4.1 mini in 1 category; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 24.1.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 67.4% for DeepSeek V4.1 Flash and 6.7% for GPT-4.1 mini.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashGPT-4.1 mini
ProviderDeepSeekOpenAI
Noometry Index52.833.6
Released2026-09-092025-04-14
WeightsOpenProprietary
Context window1M1.05M
Max output393K33K
Input $ / M tokens$0.15$0.40
Output $ / M tokens$0.60$1.60
Results tracked3747

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GPT-4.1 mini: 30.6 (#293)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
SciCode51.9%40.4%
LMArena Coding15061367
SWE-bench Verified (bash only)—23.9%
Aider Polyglot—32.4%
LMArena WebDev1619—
WeirdML—37.6%
BigCodeBench Instruct—48.9%
CadEval—16%
ALE-Bench1,092—

Agentic & Tool Use GPT-4.1 mini leads

DeepSeek V4.1 Flash: 31.2 (#69), GPT-4.1 mini: 33.3 (#55)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
APEX-Agents39.5%—
Berkeley Function Calling Leaderboard—50.5%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GPT-4.1 mini: 10.8 (#340)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
CritPt14.3%0%
LMArena Hard Prompts14831349
Mystery Game Puzzles43%7%
DTBench89.9%68.8%
LMCA47%21.1%
Epoch Capabilities Index154.9135.01
ARC-AGI-2—0%
Kagi LLM Benchmark—48.6%
NYT Connections (extended)89.6%—
ARC-AGI-1—3.5%
Chess Puzzles—7%
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GPT-4.1 mini: 24.1 (#270)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
FrontierMath (Tiers 1-3)67.4%6.7%
OTIS Mock AIME 2024-202598.3%44.7%
LMArena Math14771343
FrontierMath Tier 426.8%—
ProofBench54%—
Omni-MATH—49.1%
MATH Level 5—87.3%
FrontierMath (Feb 2025 set)—4.5%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GPT-4.1 mini: 34.7 (#194)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
GPQA Diamond89.8%65.8%
LMArena Expert15061338
SimpleQA Verified—12.7%
MMLU-Pro—78.3%
GPQA (HELM)—61.4%

Multimodal DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 39.1 (#61), GPT-4.1 mini: 35.8 (#82)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
LMArena Vision12771181
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GPT-4.1 mini: 45.7 (#166)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
LMArena Non-English14481318
LMArena Chinese14971329
LMArena French14521358
LMArena German14841351
LMArena Japanese14121290
LMArena Korean14521298
LMArena Russian14711324
LMArena Spanish14591319

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GPT-4.1 mini: 73.7 (#118)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
LMArena Instruction Following14741333
IFEval—90.4%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GPT-4.1 mini: 31.8 (#275)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
LMArena Longer Query14751344
Fiction.LiveBench—44.4%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GPT-4.1 mini: 48.6 (#199)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 mini
LMArena Text14621340
LMArena Creative Writing14351300
EQ-Bench Creative Writing15401147
LMArena Multi-Turn14571354
WildBench—83.8%

Frequently asked questions

Is DeepSeek V4.1 Flash better than GPT-4.1 mini?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 33.6 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GPT-4.1 mini?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is DeepSeek V4.1 Flash or GPT-4.1 mini better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4.1 Flash and GPT-4.1 mini share?

28 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GPT-4.1 mini has 47.

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