Noometry

Model comparison

Gemini 3.8 Flash vs GPT-4

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 29.1 on the Noometry Index.

Last verified . 26 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Summary

  • They share 26 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 17.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 1.1% for GPT-4.
  • Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $30 / $60 for GPT-4.
  • Gemini 3.8 Flash accepts more context: 1.05M tokens versus 8K.

Side by side

Gemini 3.8 FlashGPT-4
ProviderGoogleOpenAI
Noometry Index61.829.1
Released2026-09-022023-03-14
WeightsProprietaryProprietary
Context window1.05M8K
Max output66K8K
Input $ / M tokens$0.75$30
Output $ / M tokens$3.75$60
Results tracked5038

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Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 59.2 (#15), GPT-4: 31.6 (#283)

BenchmarkGemini 3.8 FlashGPT-4
WeirdML84.8%12.4%
LMArena Coding15101254
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
LMArena WebDev1584—
FrontierSWE19.6%—
SciCode56.6%—
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
ALE-Bench1,270—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

Gemini 3.8 Flash: 41.8 (#21), GPT-4: —

BenchmarkGemini 3.8 FlashGPT-4
APEX-Agents64.3%—
Remote Labor Index5.8%—
GDP.pdf23.4%—
METR Time Horizons—36.1%
Vending-Bench 25,094—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 76.9 (#5), GPT-4: 17.8 (#289)

BenchmarkGemini 3.8 FlashGPT-4
Chess Puzzles61%4%
LMArena Hard Prompts15081241
Mystery Game Puzzles47%12%
DTBench95.7%62.7%
LMCA52.9%17.1%
Epoch Capabilities Index156.71125.89
ARC-AGI-289.2%—
NYT Connections (extended)97.4%—
ARC-AGI-198.5%—
CritPt18.3%—
Surface Evolver Bench76.9%—
BIG-Bench Hard—75.1%
ForecastBench—57.8
HellaSwag—95.3%
WinoGrande—87.5%

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.3 (#28), GPT-4: 10.8 (#309)

BenchmarkGemini 3.8 FlashGPT-4
OTIS Mock AIME 2024-202598.9%1.1%
LMArena Math15281269
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
ProofBench48%—
MATH Level 5—23%
GSM8K—92%

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), GPT-4: 18.4 (#282)

BenchmarkGemini 3.8 FlashGPT-4
GPQA Diamond95.4%35.7%
LMArena Expert15241211
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—
MMLU—86.4%
TriviaQA—84.8%

Multimodal Not comparable

Gemini 3.8 Flash: 40.7 (#45), GPT-4: —

BenchmarkGemini 3.8 FlashGPT-4
LMArena Vision1314—
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 58.0 (#5), GPT-4: 40.6 (#215)

BenchmarkGemini 3.8 FlashGPT-4
LMArena Non-English14911246
LMArena Chinese15541242
LMArena French14981283
LMArena German14931251
LMArena Japanese15021209
LMArena Korean14591184
LMArena Russian15151251
LMArena Spanish14851261

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), GPT-4: 65.3 (#222)

BenchmarkGemini 3.8 FlashGPT-4
LMArena Instruction Following14901241

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), GPT-4: 37.7 (#212)

BenchmarkGemini 3.8 FlashGPT-4
LMArena Longer Query15081244

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), GPT-4: 34.9 (#268)

BenchmarkGemini 3.8 FlashGPT-4
LMArena Text14991263
LMArena Creative Writing14921244
EQ-Bench Creative Writing1748752
LMArena Multi-Turn15011257

Frequently asked questions

Is Gemini 3.8 Flash better than GPT-4?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 29.1 on the Noometry Index.

Which is cheaper, Gemini 3.8 Flash or GPT-4?

Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-4 lists at $30 and $60.

Is Gemini 3.8 Flash or GPT-4 better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 8K.

How many benchmarks do Gemini 3.8 Flash and GPT-4 share?

26 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GPT-4 has 38.

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