Noometry

Model comparison

Gemini 3.7 Flash vs GPT-4 Turbo

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.5 on the Noometry Index.

Last verified . 25 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and GPT-4 Turbo in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 3.7 Flash leads 69.6 to 9.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 6.7% for GPT-4 Turbo.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.

Side by side

Gemini 3.7 FlashGPT-4 Turbo
ProviderGoogleOpenAI
Noometry Index59.830.5
Released2026-08-132023-11-06
WeightsProprietaryProprietary
Context window1.05M128K
Max output66K4K
Input $ / M tokens$0.75$10
Output $ / M tokens$3.75$30
Results tracked4436

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), GPT-4 Turbo: 33.8 (#249)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Coding14971268
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1592—
FrontierSWE20.3%—
SciCode59.8%—
WeirdML—18%
BigCodeBench Instruct—48.2%
BigCodeBench Complete—58.2%
ALE-Bench904.3—
HumanEval+—86.6%
MBPP+—73.3%

Agentic & Tool Use Not comparable

Gemini 3.7 Flash: 42.1 (#19), GPT-4 Turbo: —

BenchmarkGemini 3.7 FlashGPT-4 Turbo
APEX-Agents67.8%—
Remote Labor Index5%—
GDP.pdf23.8%—
METR Time Horizons—36.7%

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GPT-4 Turbo: 15.3 (#317)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
Chess Puzzles47%6%
LMArena Hard Prompts14941251
DTBench96.8%61.6%
LMCA50.4%9.8%
Epoch Capabilities Index157.27127.25
ARC-AGI-284.6%—
SimpleBench—25.1%
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Mystery Game Puzzles37%—
ForecastBench—59.4

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), GPT-4 Turbo: 9.0 (#322)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
FrontierMath (Tiers 1-3)71.6%0.7%
OTIS Mock AIME 2024-202597.2%6.7%
LMArena Math15071272
FrontierMath Tier 436.6%—
ProofBench58%—
MATH Level 5—46.7%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GPT-4 Turbo: 24.3 (#268)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
GPQA Diamond94.8%46.6%
LMArena Expert15081223
SimpleQA Verified69.2%—
Confabulations—28.4%
MMLU—81.3%

Multimodal Gemini 3.7 Flash leads

Gemini 3.7 Flash: 37.3 (#73), GPT-4 Turbo: 30.6 (#110)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Vision13161090
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GPT-4 Turbo: 40.5 (#216)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Non-English14841245
LMArena Chinese15481242
LMArena French15051276
LMArena German14981259
LMArena Japanese15121194
LMArena Korean14831187
LMArena Russian15161259
LMArena Spanish15031260

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), GPT-4 Turbo: 65.8 (#216)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Instruction Following14831249

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), GPT-4 Turbo: 38.0 (#206)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Longer Query14921254

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), GPT-4 Turbo: 47.7 (#206)

BenchmarkGemini 3.7 FlashGPT-4 Turbo
LMArena Text14861272
LMArena Creative Writing14901269
LMArena Multi-Turn14891267
EQ-Bench Creative Writing1723—

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-4 Turbo?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.5 on the Noometry Index.

Which is cheaper, Gemini 3.7 Flash or GPT-4 Turbo?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-4 Turbo lists at $10 and $30.

Is Gemini 3.7 Flash or GPT-4 Turbo better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.7 Flash and GPT-4 Turbo share?

25 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-4 Turbo has 36.

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