Model comparison

Gemini 1.5 Flash (May 2024) vs GPT-5.5 Pro

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 33.2 on the Noometry Index.

Last verified . 5 shared benchmarks.

Gemini 1.5 Flash (May 2024) Google

33.2

Rank #246 Confirmed

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 22.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 100% for GPT-5.5 Pro.

Side by side

Gemini 1.5 Flash (May 2024) and GPT-5.5 Pro specifications
Gemini 1.5 Flash (May 2024)GPT-5.5 Pro
ProviderGoogleOpenAI
Noometry Index33.264.3
Released2024-05-142026-04-23
WeightsProprietaryProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$30
Output $ / M tokens—$180
Results tracked4214

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Category by category

Coding Not comparable

Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-5.5 Pro: —

Coding benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
WeirdML24.9%—
BigCodeBench Instruct43.5%—
LMArena Coding1261—
BigCodeBench Complete55.1%—
HumanEval+75.6%—
MBPP+67.5%—

Agentic & Tool Use Not comparable

Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-5.5 Pro: —

Agentic & Tool Use benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
BALROG14.6%—

Reasoning GPT-5.5 Pro leads

Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-5.5 Pro: 73.3 (#10)

Reasoning benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
DTBench53.8%96%
Epoch Capabilities Index129.36162.07
ARC-AGI-2—84.6%
SimpleBench—76.9%
ARC-AGI-1—96.5%
CritPt—30.6%
Chess Puzzles—64%
LMArena Hard Prompts1257—
LMCA—53.9%
ForecastBench53.9—
PIQA87.5%—

Math GPT-5.5 Pro leads

Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-5.5 Pro: 84.0 (#10)

Math benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
OTIS Mock AIME 2024-202516.3%100%
FrontierMath (Feb 2025 set)0%52.4%
FrontierMath (Tiers 1-3)—87.7%
FrontierMath Tier 4—78%
Omni-MATH30.4%—
LMArena Math1269—
MATH Level 561.9%—
FrontierMath Tier 4 (v1)—39.6%
GSM8K82.4%—

Knowledge GPT-5.5 Pro leads

Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-5.5 Pro: 64.1 (#19)

Knowledge benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
GPQA Diamond47.3%93.9%
MMLU-Pro67.8%—
GPQA (HELM)43.7%—
LMArena Expert1233—
BoolQ85.8%—
MMLU77.9%—

Multimodal Not comparable

Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-5.5 Pro: —

Multimodal benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
LMArena Vision1141—
Video-MME70.3%—
GeoBench76%—

Multilingual Not comparable

Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-5.5 Pro: —

Multilingual benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
LMArena Non-English1278—
LMArena Chinese1295—
LMArena French1258—
LMArena German1262—
LMArena Japanese1252—
LMArena Korean1221—
LMArena Russian1288—
LMArena Spanish1243—

Instruction Following Not comparable

Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-5.5 Pro: —

Instruction Following benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
IFEval83.1%—
LMArena Instruction Following1258—

Long Context Not comparable

Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-5.5 Pro: —

Long Context benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
LMArena Longer Query1284—

Writing & Preference Not comparable

Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-5.5 Pro: —

Writing & Preference benchmarks
BenchmarkGemini 1.5 Flash (May 2024)GPT-5.5 Pro
LMArena Text1287—
LMArena Creative Writing1285—
WildBench79.2%—
LMArena Multi-Turn1253—

Frequently asked questions

Is Gemini 1.5 Flash (May 2024) better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 33.2 on the Noometry Index.

How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5.5 Pro share?

5 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5.5 Pro has 14.

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