Model comparison

DeepSeek V4 Flash vs GPT-5.2 Pro

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 52.3 on the Noometry Index.

Last verified . 7 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Summary

  • They share 7 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 1 category and GPT-5.2 Pro in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 60.3.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 24.4% for DeepSeek V4 Flash and 46% for GPT-5.2 Pro.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 400K.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 Flash and GPT-5.2 Pro specifications
DeepSeek V4 FlashGPT-5.2 Pro
ProviderDeepSeekOpenAI
Noometry Index53.652.3
Released2026-04-242025-12-11
WeightsOpenProprietary
Context window1M400K
Max output393K128K
Input $ / M tokens$0.15$21
Output $ / M tokens$0.60$168
Results tracked418

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Category by category

Coding Not comparable

DeepSeek V4 Flash: 47.9 (#59), GPT-5.2 Pro: —

Coding benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
LMArena Coding1457—
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), GPT-5.2 Pro: 51.5 (#33)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
ARC-AGI-261.4%54.2%
SimpleBench61.1%57.4%
NYT Connections (extended)89.6%79.3%
ARC-AGI-189%90.5%
Epoch Capabilities Index154.49155.4
Kagi LLM Benchmark52.2%—
CritPt16.6%—
Chess Puzzles33%—
LMArena Hard Prompts1444—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—

Math GPT-5.2 Pro leads

DeepSeek V4 Flash: 60.3 (#37), GPT-5.2 Pro: 65.3 (#29)

Math benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
FrontierMath (Tiers 1-3)57.5%74%
FrontierMath Tier 424.4%46%
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
LMArena Math1427—
FrontierMath Tier 4 (v1)—31.3%

Knowledge Not comparable

DeepSeek V4 Flash: 55.4 (#48), GPT-5.2 Pro: —

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
GPQA Diamond91%—
SimpleQA Verified33.6%—
LMArena Expert1441—

Multilingual Not comparable

DeepSeek V4 Flash: 53.0 (#72), GPT-5.2 Pro: —

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
LMArena Non-English1420—
LMArena Chinese1468—
LMArena French1439—
LMArena German1418—
LMArena Japanese1406—
LMArena Korean1384—
LMArena Russian1428—
LMArena Spanish1436—

Instruction Following Not comparable

DeepSeek V4 Flash: 74.9 (#81), GPT-5.2 Pro: —

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
LMArena Instruction Following1421—

Long Context Not comparable

DeepSeek V4 Flash: 43.8 (#85), GPT-5.2 Pro: —

Long Context benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
LMArena Longer Query1434—

Writing & Preference Not comparable

DeepSeek V4 Flash: 63.8 (#61), GPT-5.2 Pro: —

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashGPT-5.2 Pro
LMArena Text1432—
LMArena Creative Writing1403—
EQ-Bench Creative Writing1559—
LMArena Multi-Turn1449—

Frequently asked questions

Is DeepSeek V4 Flash better than GPT-5.2 Pro?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 52.3 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or GPT-5.2 Pro?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 400K.

How many benchmarks do DeepSeek V4 Flash and GPT-5.2 Pro share?

7 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GPT-5.2 Pro has 8.

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