Noometry

Model comparison

DeepSeek V4.1 Flash vs GPT-4.1 nano

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 27.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GPT-4.1 nano 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 8.6.
  • The biggest single-benchmark swing is LMCA: 47% for DeepSeek V4.1 Flash and 5.5% for GPT-4.1 nano.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
  • GPT-4.1 nano 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 nano
ProviderDeepSeekOpenAI
Noometry Index50.327.7
Released2026-09-092025-04-14
WeightsOpenProprietary
Context window1M1.05M
Max output393K33K
Input $ / M tokens$0.15$0.10
Output $ / M tokens$0.60$0.40
Results tracked2538

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), GPT-4.1 nano: 23.8 (#325)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
SciCode51.9%25.9%
LMArena Coding15111306
Aider Polyglot—8.9%
LMArena WebDev1620—
WeirdML—19%
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, GPT-4.1 nano: 26.3 (#98)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), GPT-4.1 nano: 8.6 (#344)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
CritPt14.3%0%
LMArena Hard Prompts14851286
DTBench89.9%52.5%
LMCA47%5.5%
Epoch Capabilities Index155.01129.62
ARC-AGI-2—0%
Kagi LLM Benchmark—33.3%
NYT Connections (extended)89.6%—
ARC-AGI-1—0%
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), GPT-4.1 nano: 25.5 (#246)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Math14931274
OTIS Mock AIME 2024-2025—28.9%
ProofBench54%—
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), GPT-4.1 nano: 21.8 (#268)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Expert15051272
GPQA Diamond—48.9%
SimpleQA Verified—6%
MMLU-Pro—55%
GPQA (HELM)—50.7%

Multimodal Not comparable

DeepSeek V4.1 Flash: —, GPT-4.1 nano: 28.6 (#108)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Vision—1063

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), GPT-4.1 nano: 41.8 (#200)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Non-English14521260
LMArena Chinese15061270
LMArena Russian14731261
LMArena French1448—
LMArena German—1288
LMArena Japanese—1199
LMArena Spanish1499—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), GPT-4.1 nano: 68.0 (#188)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Instruction Following14751267
IFEval—84.3%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), GPT-4.1 nano: 23.7 (#291)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Longer Query14761283
Fiction.LiveBench—25%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), GPT-4.1 nano: 40.7 (#238)

BenchmarkDeepSeek V4.1 FlashGPT-4.1 nano
LMArena Text14651285
LMArena Creative Writing14361260
EQ-Bench Creative Writing1540946
LMArena Multi-Turn14601277
WildBench—81.2%

Frequently asked questions

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

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 27.7 on the Noometry Index.

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

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

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

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

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

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

18 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and GPT-4.1 nano has 38.

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