Model comparison

Gemini 2.0 Flash-Lite vs GPT-5.2 Codex

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.3 on the Noometry Index.

Last verified . 0 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.3

Rank #189 Confirmed

GPT-5.2 Codex OpenAI

42.2

Rank #107 Reported

Summary

  • The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 37.4.

Side by side

Gemini 2.0 Flash-Lite and GPT-5.2 Codex specifications
Gemini 2.0 Flash-LiteGPT-5.2 Codex
ProviderGoogleOpenAI
Noometry Index37.342.2
Released2025-02-052025-12-18
WeightsProprietaryProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.75
Output $ / M tokens—$14
Results tracked325

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Category by category

Coding GPT-5.2 Codex leads

Gemini 2.0 Flash-Lite: 37.4 (#181), GPT-5.2 Codex: 45.4 (#66)

Coding benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1339
SWE-bench Multilingual—66.3%
LiveBench Coding47.1%—
LMArena Coding1322—
ALE-Bench—1,300

Agentic & Tool Use Not comparable

Gemini 2.0 Flash-Lite: —, GPT-5.2 Codex: 40.7 (#20)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
Terminal-Bench—66.5%

Reasoning Not comparable

Gemini 2.0 Flash-Lite: 21.2 (#203), GPT-5.2 Codex: —

Reasoning benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LiveBench Reasoning50.1%—
LMArena Hard Prompts1324—
DTBench52.5%—
LiveBench Data Analysis65.5%—
ForecastBench57.1—
LiveBench54.3%—

Math Not comparable

Gemini 2.0 Flash-Lite: 31.8 (#192), GPT-5.2 Codex: —

Math benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
Omni-MATH37.4%—
LiveBench Math58.1%—
LMArena Math1309—

Knowledge Not comparable

Gemini 2.0 Flash-Lite: 34.6 (#185), GPT-5.2 Codex: —

Knowledge benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
MMLU-Pro72%—
GPQA (HELM)50%—
LMArena Expert1305—

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 30.6 (#103), GPT-5.2 Codex: —

Multimodal benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LMArena Vision1100—

Multilingual Not comparable

Gemini 2.0 Flash-Lite: 46.2 (#156), GPT-5.2 Codex: —

Multilingual benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LMArena Non-English1323—
LMArena Chinese1339—
LMArena French1346—
LMArena German1306—
LMArena Japanese1302—
LMArena Korean1325—
LMArena Russian1328—
LMArena Spanish1313—

Instruction Following Not comparable

Gemini 2.0 Flash-Lite: 70.6 (#158), GPT-5.2 Codex: —

Instruction Following benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LiveBench Instruction Following78.3%—
IFEval82.4%—
LMArena Instruction Following1305—

Long Context Not comparable

Gemini 2.0 Flash-Lite: 40.1 (#155), GPT-5.2 Codex: —

Long Context benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LMArena Longer Query1321—

Writing & Preference Not comparable

Gemini 2.0 Flash-Lite: 51.9 (#172), GPT-5.2 Codex: —

Writing & Preference benchmarks
BenchmarkGemini 2.0 Flash-LiteGPT-5.2 Codex
LMArena Text1330—
LMArena Creative Writing1319—
WildBench79%—
LMArena Multi-Turn1307—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.3 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 37.4 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and GPT-5.2 Codex share?

0 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-5.2 Codex has 5.

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