Noometry

Model comparison

Gemini 3.7 Flash vs GPT-4.1

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 35.9 on the Noometry Index.

Last verified . 30 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Summary

  • They share 30 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and GPT-4.1 in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 11.7.
  • The biggest single-benchmark swing is ARC-AGI-1: 95.5% for Gemini 3.7 Flash and 5.5% for GPT-4.1.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $8 for GPT-4.1.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 1.05M.

Side by side

Gemini 3.7 FlashGPT-4.1
ProviderGoogleOpenAI
Noometry Index59.835.9
Released2026-08-132025-04-14
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K33K
Input $ / M tokens$0.75$2
Output $ / M tokens$3.75$8
Results tracked4452

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), GPT-4.1: 34.4 (#238)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Coding14971391
ALE-Bench904.3558.1
SWE-bench Verified—48.5%
DeepSWE65.5%—
FrontierCode43.6%—
SWE-bench Verified (bash only)—39.6%
Aider Polyglot—52.4%
LMArena WebDev1592—
FrontierSWE20.3%—
SciCode59.8%—
WeirdML—39%
CadEval—42%

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GPT-4.1: 34.7 (#43)

BenchmarkGemini 3.7 FlashGPT-4.1
APEX-Agents67.8%—
Berkeley Function Calling Leaderboard—54%
Remote Labor Index5%—
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GPT-4.1: 11.7 (#339)

BenchmarkGemini 3.7 FlashGPT-4.1
ARC-AGI-284.6%0.4%
ARC-AGI-195.5%5.5%
Chess Puzzles47%6%
LMArena Hard Prompts14941384
DTBench96.8%68.3%
LMCA50.4%25.6%
Epoch Capabilities Index157.27136.78
SimpleBench—27%
Kagi LLM Benchmark—52.3%
NYT Connections (extended)94%—
CritPt14.3%—
EnigmaEval—2.2%
Mystery Game Puzzles37%—
ForecastBench—61.5

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), GPT-4.1: 22.3 (#280)

BenchmarkGemini 3.7 FlashGPT-4.1
FrontierMath (Tiers 1-3)71.6%6%
OTIS Mock AIME 2024-202597.2%38.3%
LMArena Math15071370
FrontierMath Tier 436.6%—
ProofBench58%—
Omni-MATH—47.1%
MATH Level 5—83%
FrontierMath (Feb 2025 set)—5.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GPT-4.1: 37.1 (#160)

BenchmarkGemini 3.7 FlashGPT-4.1
GPQA Diamond94.8%66.9%
SimpleQA Verified69.2%31.1%
LMArena Expert15081364
Humanity's Last Exam—5.4%
MMLU-Pro—81.1%
Vectara Hallucination Rate—5.6%
GPQA (HELM)—65.9%

Multimodal Too close to call

Gemini 3.7 Flash: 37.3 (#73), GPT-4.1: 38.2 (#67)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Vision13161211
GeoBench—72%
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GPT-4.1: 49.4 (#133)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Non-English14841370
LMArena Chinese15481382
LMArena French15051382
LMArena German14981381
LMArena Japanese15121319
LMArena Korean14831339
LMArena Russian15161377
LMArena Spanish15031376

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), GPT-4.1: 71.3 (#153)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Instruction Following14831367
IFEval—83.8%

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), GPT-4.1: 40.0 (#163)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Longer Query14921385
Fiction.LiveBench—63.9%

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), GPT-4.1: 57.6 (#125)

BenchmarkGemini 3.7 FlashGPT-4.1
LMArena Text14861383
LMArena Creative Writing14901363
EQ-Bench Creative Writing17231420
LMArena Multi-Turn14891398
WildBench—85.4%

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-4.1?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 35.9 on the Noometry Index.

Which is cheaper, Gemini 3.7 Flash or GPT-4.1?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-4.1 lists at $2 and $8.

Is Gemini 3.7 Flash or GPT-4.1 better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Gemini 3.7 Flash and GPT-4.1 share?

30 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-4.1 has 52.

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