Model comparison

GPT-5.2 Pro vs GPT-5.5

GPT-5.5 is the stronger model overall, scoring 63.4 to 52.3 on the Noometry Index.

Last verified . 8 shared benchmarks.

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

GPT-5.5 OpenAI

63.4

Rank #9 Confirmed

Summary

  • They share 8 benchmarks with published results for both. GPT-5.2 Pro scores higher in 0 categories and GPT-5.5 in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.5 leads 72.8 to 51.5.
  • The biggest single-benchmark swing is ARC-AGI-2: 54.2% for GPT-5.2 Pro and 85% for GPT-5.5.
  • GPT-5.5 is cheaper at $5 / $30 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • GPT-5.5 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5.2 Pro and GPT-5.5 specifications
GPT-5.2 ProGPT-5.5
ProviderOpenAIOpenAI
Noometry Index52.363.4
Released2025-12-112026-04-23
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K128K
Input $ / M tokens$21$5
Output $ / M tokens$168$30
Results tracked871

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, GPT-5.5: 58.2 (#17)

Coding benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
SWE-bench Verified—80.6%
DeepSWE—67%
FrontierCode—43%
LMArena WebDev—1513
SciCode—56.1%
GSO—40.2%
WeirdML—84.9%
LMArena Coding—1494
MirrorCode—10%
ALE-Bench—1,943

Agentic & Tool Use Not comparable

GPT-5.2 Pro: —, GPT-5.5: 50.7 (#6)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
Terminal-Bench—84.7%
APEX-Agents—55.1%
OSWorld 2.0—13%
Remote Labor Index—6.3%
τ²-bench Banking—44.6%
DeepResearch Bench—54%
PostTrainBench—27.2%
ExploitBench—47.4%
GBAEval—53.2%
GDP.pdf—26%
LMArena Search—1242
Vending-Bench 2—7,524

Reasoning GPT-5.5 leads

GPT-5.2 Pro: 51.5 (#33), GPT-5.5: 72.8 (#11)

Reasoning benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
ARC-AGI-254.2%85%
SimpleBench57.4%69%
NYT Connections (extended)79.3%96.2%
ARC-AGI-190.5%95%
Epoch Capabilities Index155.4159.1
Kagi LLM Benchmark—88.8%
CritPt—27.1%
Chess Puzzles—54%
EBR-Bench—34.3%
LMArena Hard Prompts—1489
Mystery Game Puzzles—56%
DTBench—96%
LMCA—54.3%
Surface Evolver Bench—88.1%
Bench to the Future 3—0.14
ForecastBench—60.6

Math GPT-5.5 leads

GPT-5.2 Pro: 65.3 (#29), GPT-5.5: 81.7 (#11)

Knowledge Not comparable

GPT-5.2 Pro: —, GPT-5.5: 64.4 (#17)

Knowledge benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
GPQA Diamond—94%
SimpleQA Verified—63%
Vectara Hallucination Rate—9.3%
LMArena Expert—1508

Multimodal Not comparable

GPT-5.2 Pro: —, GPT-5.5: 46.9 (#12)

Multimodal benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
LMArena Vision—1297
Blueprint-Bench 2—36.2%
Furniture Assembly—44.2%
LMArena Document—1486

Multilingual Not comparable

GPT-5.2 Pro: —, GPT-5.5: 56.4 (#20)

Multilingual benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
LMArena Non-English—1467
LMArena Chinese—1533
LMArena French—1486
LMArena German—1480
LMArena Japanese—1498
LMArena Korean—1460
LMArena Russian—1473
LMArena Spanish—1468

Instruction Following Not comparable

GPT-5.2 Pro: —, GPT-5.5: 77.5 (#18)

Instruction Following benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
LMArena Instruction Following—1479

Long Context Not comparable

GPT-5.2 Pro: —, GPT-5.5: 48.3 (#12)

Long Context benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
CL-bench Life—22.2%
LMArena Longer Query—1484

Writing & Preference Not comparable

GPT-5.2 Pro: —, GPT-5.5: 72.7 (#13)

Writing & Preference benchmarks
BenchmarkGPT-5.2 ProGPT-5.5
LMArena Text—1472
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1844
EQ-Bench 4—1315
LMArena Multi-Turn—1476

Frequently asked questions

Is GPT-5.2 Pro better than GPT-5.5?

GPT-5.5 is the stronger model overall, scoring 63.4 to 52.3 on the Noometry Index.

Which is cheaper, GPT-5.2 Pro or GPT-5.5?

GPT-5.5 is cheaper. It lists at $5 per million input tokens and $30 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

GPT-5.5 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5.2 Pro and GPT-5.5 share?

8 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and GPT-5.5 has 71.

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