Noometry

Model comparison

Gemini 3.5 Flash vs GPT-5.2 Pro

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 52.3 on the Noometry Index.

Last verified . 8 shared benchmarks.

Gemini 3.5 Flash Google

54.2

Rank #32 Confirmed

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Summary

  • They share 8 benchmarks with published results for both. Gemini 3.5 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 reasoning, where Gemini 3.5 Flash leads 62.8 to 51.5.
  • The biggest single-benchmark swing is SimpleBench: 76.7% for Gemini 3.5 Flash and 57.4% for GPT-5.2 Pro.
  • Gemini 3.5 Flash is cheaper at $1.50 / $9 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • Gemini 3.5 Flash accepts more context: 1.05M tokens versus 400K.

Side by side

Gemini 3.5 FlashGPT-5.2 Pro
ProviderGoogleOpenAI
Noometry Index54.252.3
Released2026-05-192025-12-11
WeightsProprietaryProprietary
Context window1.05M400K
Max output66K128K
Input $ / M tokens$1.50$21
Output $ / M tokens$9$168
Results tracked548

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Category by category

Coding Not comparable

Gemini 3.5 Flash: 49.4 (#49), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
SWE-bench Verified79.3%—
DeepSWE37.4%—
LMArena WebDev1499—
SciCode53.1%—
WeirdML62.6%—
LMArena Coding1492—
ALE-Bench911.02—

Agentic & Tool Use Not comparable

Gemini 3.5 Flash: 24.7 (#114), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
APEX-Agents27.5%—
GBAEval6.7%—
GDP.pdf14%—
Vending-Bench 25,396—

Reasoning Gemini 3.5 Flash leads

Gemini 3.5 Flash: 62.8 (#18), GPT-5.2 Pro: 51.5 (#33)

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
ARC-AGI-272.1%54.2%
SimpleBench76.7%57.4%
NYT Connections (extended)92.6%79.3%
ARC-AGI-192.5%90.5%
Epoch Capabilities Index154.46155.4
CritPt13.1%—
Chess Puzzles50%—
EnigmaEval25.4%—
EBR-Bench4.8%—
LMArena Hard Prompts1488—
Mystery Game Puzzles32%—
DTBench94.7%—
LMCA47.1%—
Surface Evolver Bench58.1%—
ForecastBench59—

Math GPT-5.2 Pro leads

Gemini 3.5 Flash: 60.7 (#36), GPT-5.2 Pro: 65.3 (#29)

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
FrontierMath (Tiers 1-3)62.8%74%
FrontierMath Tier 426.8%46%
FrontierMath Tier 4 (v1)14.6%31.3%
MathArena Final-Answer Competitions76.3%—
OTIS Mock AIME 2024-202595.6%—
ProofBench31%—
LMArena Math1504—
FrontierMath (Feb 2025 set)39%—

Knowledge Not comparable

Gemini 3.5 Flash: 66.3 (#11), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
GPQA Diamond92.8%—
SimpleQA Verified66.2%—
LMArena Expert1495—

Multimodal Not comparable

Gemini 3.5 Flash: 45.7 (#15), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
LMArena Vision1310—
Blueprint-Bench 233.6%—
LMArena Document1463—

Multilingual Not comparable

Gemini 3.5 Flash: 57.0 (#13), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
LMArena Non-English1476—
LMArena Chinese1526—
LMArena French1490—
LMArena German1492—
LMArena Japanese1486—
LMArena Korean1451—
LMArena Russian1493—
LMArena Spanish1480—

Instruction Following Not comparable

Gemini 3.5 Flash: 77.0 (#30), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
LMArena Instruction Following1467—

Long Context Not comparable

Gemini 3.5 Flash: 45.4 (#38), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
LMArena Longer Query1482—

Writing & Preference Not comparable

Gemini 3.5 Flash: 65.5 (#47), GPT-5.2 Pro: —

BenchmarkGemini 3.5 FlashGPT-5.2 Pro
LMArena Text1482—
LMArena Creative Writing1470—
EQ-Bench 41087—
LMArena Multi-Turn1481—

Frequently asked questions

Is Gemini 3.5 Flash better than GPT-5.2 Pro?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 52.3 on the Noometry Index.

Which is cheaper, Gemini 3.5 Flash or GPT-5.2 Pro?

Gemini 3.5 Flash is cheaper. It lists at $1.50 per million input tokens and $9 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 400K.

How many benchmarks do Gemini 3.5 Flash and GPT-5.2 Pro share?

8 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and GPT-5.2 Pro has 8.

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