Noometry

Model comparison

DeepSeek V4.1 Flash vs GPT-5.3 Chat

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GPT-5.3 Chat 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 38.2.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashGPT-5.3 Chat
ProviderDeepSeekOpenAI
Noometry Index52.842.8
Released2026-09-092026-03-03
WeightsOpenProprietary
Context window1M128K
Max output393K16K
Input $ / M tokens$0.15$1.75
Output $ / M tokens$0.60$14
Results tracked3718

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GPT-5.3 Chat: 41.4 (#124)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Coding15061408
LMArena WebDev1619—
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), GPT-5.3 Chat: —

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GPT-5.3 Chat: 28.5 (#102)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Hard Prompts14831399
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GPT-5.3 Chat: 38.2 (#142)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Math14771389
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GPT-5.3 Chat: 38.8 (#140)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Expert15061397
GPQA Diamond89.8%—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GPT-5.3 Chat: —

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GPT-5.3 Chat: 50.3 (#124)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Non-English14481382
LMArena Chinese14971432
LMArena French14521397
LMArena German14841384
LMArena Japanese14121352
LMArena Korean14521346
LMArena Russian14711400
LMArena Spanish14591371

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GPT-5.3 Chat: 72.8 (#129)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Instruction Following14741378

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GPT-5.3 Chat: 42.6 (#120)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Longer Query14751396

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GPT-5.3 Chat: 63.1 (#68)

BenchmarkDeepSeek V4.1 FlashGPT-5.3 Chat
LMArena Text14621389
LMArena Creative Writing14351355
EQ-Bench Creative Writing15401690
LMArena Multi-Turn14571412

Frequently asked questions

Is DeepSeek V4.1 Flash better than GPT-5.3 Chat?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GPT-5.3 Chat?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is DeepSeek V4.1 Flash or GPT-5.3 Chat better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 128K.

How many benchmarks do DeepSeek V4.1 Flash and GPT-5.3 Chat share?

18 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GPT-5.3 Chat has 18.

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