Model comparison

DeepSeek V4 Flash vs GPT-4.1 nano

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.9 on the Noometry Index.

Last verified . 27 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Summary

  • They share 27 benchmarks with published results for both. DeepSeek V4 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 Flash leads 53.7 to 8.5.
  • The biggest single-benchmark swing is ARC-AGI-1: 89% for DeepSeek V4 Flash and 0% 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 Flash.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 1M.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 Flash and GPT-4.1 nano specifications
DeepSeek V4 FlashGPT-4.1 nano
ProviderDeepSeekOpenAI
Noometry Index53.627.9
Released2026-04-242025-04-14
WeightsOpenProprietary
Context window1M1.05M
Max output393K33K
Input $ / M tokens$0.15$0.10
Output $ / M tokens$0.60$0.40
Results tracked4138

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), GPT-4.1 nano: 24.1 (#330)

Coding benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
SciCode49.9%25.9%
WeirdML63%19%
LMArena Coding14571306
FrontierCode18.8%—
Aider Polyglot—8.9%
LMArena WebDev1582—
ALE-Bench1,306—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, GPT-4.1 nano: 26.5 (#104)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
Berkeley Function Calling Leaderboard—33%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), GPT-4.1 nano: 8.5 (#349)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
ARC-AGI-261.4%0%
Kagi LLM Benchmark52.2%33.3%
ARC-AGI-189%0%
CritPt16.6%0%
LMArena Hard Prompts14441286
DTBench90.9%52.5%
LMCA41.7%5.5%
Epoch Capabilities Index154.49129.62
SimpleBench61.1%—
NYT Connections (extended)89.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), GPT-4.1 nano: 26.9 (#252)

Math benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
OTIS Mock AIME 2024-202594.4%28.9%
LMArena Math14271274
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
ProofBench56%—
Omni-MATH—36.7%
MATH Level 5—70%
FrontierMath (Feb 2025 set)—1%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), GPT-4.1 nano: 21.8 (#273)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
GPQA Diamond91%48.9%
SimpleQA Verified33.6%6%
LMArena Expert14411272
MMLU-Pro—55%
GPQA (HELM)—50.7%

Multimodal Not comparable

DeepSeek V4 Flash: —, GPT-4.1 nano: 29.2 (#113)

Multimodal benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
LMArena Vision—1063

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), GPT-4.1 nano: 41.6 (#205)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
LMArena Non-English14201260
LMArena Chinese14681270
LMArena German14181288
LMArena Japanese14061198
LMArena Russian14281261
LMArena French1439—
LMArena Korean1384—
LMArena Spanish1436—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), GPT-4.1 nano: 67.8 (#193)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
LMArena Instruction Following14211267
IFEval—84.3%

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), GPT-4.1 nano: 23.7 (#296)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
LMArena Longer Query14341283
Fiction.LiveBench—25%

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), GPT-4.1 nano: 40.5 (#243)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashGPT-4.1 nano
LMArena Text14321285
LMArena Creative Writing14031260
EQ-Bench Creative Writing1559946
LMArena Multi-Turn14491277
WildBench—81.2%

Frequently asked questions

Is DeepSeek V4 Flash better than GPT-4.1 nano?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.9 on the Noometry Index.

Which is cheaper, DeepSeek V4 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 Flash lists at $0.15 and $0.60.

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

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 24.1 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 Flash and GPT-4.1 nano share?

27 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GPT-4.1 nano has 38.

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