Model comparison

Gemini 3.7 Flash vs GPT-4o mini

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 25.5 on the Noometry Index. GPT-4o mini costs 5.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 10 categories and GPT-4o mini in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 8.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 6.9% for GPT-4o mini.
  • GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.

Side by side

Gemini 3.7 Flash and GPT-4o mini specifications
Gemini 3.7 FlashGPT-4o mini
ProviderGoogleOpenAI
Noometry Index59.825.5
Released2026-08-132024-07-18
WeightsProprietaryProprietary
Context window1.05M128K
Max output66K16K
Input $ / M tokens$0.75$0.15
Output $ / M tokens$3.75$0.60
Results tracked4460

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), GPT-4o mini: 22.0 (#335)

Coding benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Coding14971290
DeepSWE65.5%—
FrontierCode43.6%—
Aider Polyglot—3.6%
LMArena WebDev1592—
FrontierSWE20.3%—
SciCode59.8%—
WeirdML—11.8%
BigCodeBench Instruct—46.1%
LiveBench Coding—43.1%
BigCodeBench Complete—57.4%
ALE-Bench904.3—
HumanEval+—83.5%
MBPP+—72.2%

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GPT-4o mini: 27.5 (#101)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
APEX-Agents67.8%—
Remote Labor Index5%—
BALROG—17.4%
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GPT-4o mini: 8.7 (#347)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
ARC-AGI-284.6%0%
Chess Puzzles47%0%
LMArena Hard Prompts14941267
Mystery Game Puzzles37%12%
DTBench96.8%54.4%
LMCA50.4%10.4%
Epoch Capabilities Index157.27126.56
SimpleBench—10.7%
Kagi LLM Benchmark—28.8%
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
LiveBench Reasoning—32.8%
LiveBench Data Analysis—50%
LiveBench—41.3%
PIQA—88.7%

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), GPT-4o mini: 10.4 (#314)

Math benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
FrontierMath (Tiers 1-3)71.6%0.7%
OTIS Mock AIME 2024-202597.2%6.9%
LMArena Math15071267
FrontierMath Tier 436.6%—
ProofBench58%—
Omni-MATH—28%
LiveBench Math—36.3%
MATH Level 5—52.6%
GSM8K—91.3%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GPT-4o mini: 17.7 (#284)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
GPQA Diamond94.8%37.7%
SimpleQA Verified69.2%8.3%
LMArena Expert15081235
MMLU-Pro—60.3%
Confabulations—37.2%
GPQA (HELM)—36.8%
BoolQ—88.7%
MMLU—81.8%

Multimodal Gemini 3.7 Flash leads

Gemini 3.7 Flash: 37.3 (#73), GPT-4o mini: 25.9 (#122)

Multimodal benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Vision13161066
Video-MME—64.8%
GeoBench—64%
VPCT—34%
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GPT-4o mini: 42.0 (#199)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Non-English14841266
LMArena Chinese15481265
LMArena French15051297
LMArena German14981272
LMArena Japanese15121216
LMArena Korean14831195
LMArena Russian15161275
LMArena Spanish15031276

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), GPT-4o mini: 61.9 (#239)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Instruction Following14831258
LiveBench Instruction Following—56.8%
IFEval—78.2%

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), GPT-4o mini: 39.1 (#186)

Long Context benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Longer Query14921289

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), GPT-4o mini: 39.5 (#248)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashGPT-4o mini
LMArena Text14861286
LMArena Creative Writing14901268
EQ-Bench Creative Writing1723873
LMArena Multi-Turn14891285
Short-Story Creative Writing—67.2%
WildBench—79.1%
LiveBench Language—28.6%

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-4o mini?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 25.5 on the Noometry Index. GPT-4o mini costs 5.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

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

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

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

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 22.0 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-4o mini share?

29 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-4o mini has 60.

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