Noometry

Model comparison

DeepSeek-V3.2-Speciale vs GPT-4.5

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.2 on the Noometry Index.

Last verified . 3 shared benchmarks.

DeepSeek-V3.2-Speciale DeepSeek

39.7

Rank #162 Reported

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Summary

  • They share 3 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GPT-4.5 in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 13.9.
  • The biggest single-benchmark swing is SimpleBench: 52.6% for DeepSeek-V3.2-Speciale and 34.5% for GPT-4.5.
  • DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-SpecialeGPT-4.5
ProviderDeepSeekOpenAI
Noometry Index39.737.2
Released2025-12-012025-02-27
WeightsOpenProprietary
Context window128K—
Max output128K—
Input $ / M tokens$0.58—
Output $ / M tokens$1.68—
Results tracked342

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Category by category

Coding GPT-4.5 leads

DeepSeek-V3.2-Speciale: 40.4 (#140), GPT-4.5: 42.2 (#109)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
WeirdML46.7%39.4%
Aider Polyglot—44.9%
LiveBench Coding—75.2%
LMArena Coding—1396

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 27.9 (#97)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
Cybench—17.5%

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.9 (#73), GPT-4.5: 13.9 (#330)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
SimpleBench52.6%34.5%
ARC-AGI-2—0.8%
ARC-AGI-1—10.3%
EnigmaEval—3.2%
LiveBench Reasoning—71.1%
LMArena Hard Prompts—1403
LiveBench Data Analysis—64.3%
Epoch Capabilities Index—136.74
ForecastBench—61.7
LiveBench—69%

Math Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 32.6 (#211)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
OTIS Mock AIME 2024-2025—37.8%
LiveBench Math—69.3%
LMArena Math—1412
MATH Level 5—78.6%

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 32.5 (#211)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
GPQA Diamond—68.7%
Humanity's Last Exam—5.4%
Confabulations—13.6%
LMArena Expert—1394

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 37.6 (#71)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
LMArena Vision—1195
VPCT—45%

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 52.5 (#83)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
LMArena Non-English—1413
LMArena Chinese—1421
LMArena French—1418
LMArena German—1457
LMArena Japanese—1416
LMArena Korean—1392
LMArena Russian—1419

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 72.6 (#134)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
LiveBench Instruction Following—72.3%
LMArena Instruction Following—1404

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, GPT-4.5: 40.4 (#155)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
Fiction.LiveBench—63.9%
LMArena Longer Query—1406

Writing & Preference GPT-4.5 leads

DeepSeek-V3.2-Speciale: 46.0 (#222), GPT-4.5: 56.9 (#134)

BenchmarkDeepSeek-V3.2-SpecialeGPT-4.5
EQ-Bench Creative Writing12761258
LMArena Text—1417
LMArena Creative Writing—1394
Short-Story Creative Writing—75.6%
LMArena Multi-Turn—1444
LiveBench Language—61.5%

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than GPT-4.5?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 37.2 on the Noometry Index.

Is DeepSeek-V3.2-Speciale or GPT-4.5 better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 40.4 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.2-Speciale and GPT-4.5 share?

3 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-4.5 has 42.

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