Noometry

Model comparison

DeepSeek V4 Flash vs GPT-5.3 Chat

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and GPT-5.3 Chat in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 28.5.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 128K.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 FlashGPT-5.3 Chat
ProviderDeepSeekOpenAI
Noometry Index53.642.8
Released2026-04-242026-03-03
WeightsOpenProprietary
Context window1M128K
Max output393K16K
Input $ / M tokens$0.15$1.75
Output $ / M tokens$0.60$14
Results tracked4118

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), GPT-5.3 Chat: 41.4 (#124)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Coding14571408
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), GPT-5.3 Chat: 28.5 (#102)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Hard Prompts14441399
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—
Epoch Capabilities Index154.49—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), GPT-5.3 Chat: 38.2 (#142)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Math14271389
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), GPT-5.3 Chat: 38.8 (#140)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Expert14411397
GPQA Diamond91%—
SimpleQA Verified33.6%—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), GPT-5.3 Chat: 50.3 (#124)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Non-English14201382
LMArena Chinese14681432
LMArena French14391397
LMArena German14181384
LMArena Japanese14061352
LMArena Korean13841346
LMArena Russian14281400
LMArena Spanish14361371

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), GPT-5.3 Chat: 72.8 (#129)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Instruction Following14211378

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), GPT-5.3 Chat: 42.6 (#120)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Longer Query14341396

Writing & Preference Too close to call

DeepSeek V4 Flash: 63.8 (#61), GPT-5.3 Chat: 63.1 (#68)

BenchmarkDeepSeek V4 FlashGPT-5.3 Chat
LMArena Text14321389
LMArena Creative Writing14031355
EQ-Bench Creative Writing15591690
LMArena Multi-Turn14491412

Frequently asked questions

Is DeepSeek V4 Flash better than GPT-5.3 Chat?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.8 on the Noometry Index.

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

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

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

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

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

18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GPT-5.3 Chat has 18.

Related comparisons

Go deeper