Model comparison

Gemini 1.5 Flash (May 2024) vs GPT-5.2 Codex

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 33.2 on the Noometry Index.

Last verified . 0 shared benchmarks.

Gemini 1.5 Flash (May 2024) Google

33.2

Rank #246 Confirmed

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

Summary

  • The widest gap is in agentic & tool use, where GPT-5.2 Codex leads 41.0 to 26.6.

Side by side

Gemini 1.5 Flash (May 2024) and GPT-5.2 Codex specifications
Gemini 1.5 Flash (May 2024)GPT-5.2 Codex
ProviderGoogleOpenAI
Noometry Index33.242.6
Released2024-05-142025-12-18
WeightsProprietaryProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.75
Output $ / M tokens—$14
Results tracked425

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Category by category

Coding GPT-5.2 Codex leads

Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-5.2 Codex: 45.5 (#71)

Coding benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1339
SWE-bench Multilingual—66.3%
WeirdML24.9%—
BigCodeBench Instruct43.5%—
LMArena Coding1261—
BigCodeBench Complete55.1%—
ALE-Bench—1,300
HumanEval+75.6%—
MBPP+67.5%—

Agentic & Tool Use GPT-5.2 Codex leads

Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-5.2 Codex: 41.0 (#22)

Agentic & Tool Use benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
Terminal-Bench—66.5%
BALROG14.6%—

Reasoning Not comparable

Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-5.2 Codex: —

Reasoning benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
LMArena Hard Prompts1257—
DTBench53.8%—
Epoch Capabilities Index129.36—
ForecastBench53.9—
PIQA87.5%—

Math Not comparable

Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-5.2 Codex: —

Math benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
OTIS Mock AIME 2024-202516.3%—
Omni-MATH30.4%—
LMArena Math1269—
MATH Level 561.9%—
FrontierMath (Feb 2025 set)0%—
GSM8K82.4%—

Knowledge Not comparable

Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-5.2 Codex: —

Knowledge benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
GPQA Diamond47.3%—
MMLU-Pro67.8%—
GPQA (HELM)43.7%—
LMArena Expert1233—
BoolQ85.8%—
MMLU77.9%—

Multimodal Not comparable

Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-5.2 Codex: —

Multimodal benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
LMArena Vision1141—
Video-MME70.3%—
GeoBench76%—

Multilingual Not comparable

Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-5.2 Codex: —

Multilingual benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
LMArena Non-English1278—
LMArena Chinese1295—
LMArena French1258—
LMArena German1262—
LMArena Japanese1252—
LMArena Korean1221—
LMArena Russian1288—
LMArena Spanish1243—

Instruction Following Not comparable

Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-5.2 Codex: —

Instruction Following benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
IFEval83.1%—
LMArena Instruction Following1258—

Long Context Not comparable

Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-5.2 Codex: —

Long Context benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
LMArena Longer Query1284—

Writing & Preference Not comparable

Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-5.2 Codex: —

Writing & Preference benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.2 Codex
LMArena Text1287—
LMArena Creative Writing1285—
WildBench79.2%—
LMArena Multi-Turn1253—

Frequently asked questions

Is Gemini 1.5 Flash (May 2024) better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 33.2 on the Noometry Index.

Is Gemini 1.5 Flash (May 2024) or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 34.4 in the Noometry coding category.

How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5.2 Codex share?

0 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5.2 Codex has 5.

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