Noometry

Model comparison

Gemini 3.5 Flash vs Qwen1.5-32B

Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemini 3.5 Flash Google

54.1

Rank #29 Confirmed

Qwen1.5-32B Alibaba (Qwen)

30.0

Rank #288 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 3.5 Flash leads 66.3 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 92.8% for Gemini 3.5 Flash and 30.7% for Qwen1.5-32B.
  • Qwen1.5-32B has downloadable open weights; the other is API-only.

Side by side

Gemini 3.5 FlashQwen1.5-32B
ProviderGoogleAlibaba (Qwen)
Noometry Index54.130.0
Released2026-05-192024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$1.50—
Output $ / M tokens$9—
Results tracked5421

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Category by category

Coding Gemini 3.5 Flash leads

Gemini 3.5 Flash: 49.1 (#46), Qwen1.5-32B: 31.1 (#278)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Coding14921155
SWE-bench Verified79.3%—
DeepSWE37.4%—
LMArena WebDev1499—
SciCode53.1%—
WeirdML62.6%—
BigCodeBench Instruct—32.3%
BigCodeBench Complete—42%
ALE-Bench911.02—

Agentic & Tool Use Not comparable

Gemini 3.5 Flash: 24.8 (#107), Qwen1.5-32B: —

BenchmarkGemini 3.5 FlashQwen1.5-32B
APEX-Agents27.5%—
GBAEval6.7%—
GDP.pdf14%—
Vending-Bench 25,396—

Reasoning Gemini 3.5 Flash leads

Gemini 3.5 Flash: 62.7 (#16), Qwen1.5-32B: 20.9 (#210)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Hard Prompts14881131
ARC-AGI-272.1%—
SimpleBench76.7%—
NYT Connections (extended)92.6%—
ARC-AGI-192.5%—
CritPt13.1%—
Chess Puzzles50%—
EnigmaEval25.4%—
EBR-Bench4.8%—
Mystery Game Puzzles32%—
DTBench94.7%—
LMCA47.1%—
Surface Evolver Bench58.1%—
Epoch Capabilities Index154.55—
ForecastBench59—

Math Gemini 3.5 Flash leads

Gemini 3.5 Flash: 60.5 (#30), Qwen1.5-32B: 30.5 (#207)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Math15021155
FrontierMath (Tiers 1-3)62.8%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions76.3%—
OTIS Mock AIME 2024-202595.6%—
ProofBench31%—
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—

Knowledge Gemini 3.5 Flash leads

Gemini 3.5 Flash: 66.3 (#10), Qwen1.5-32B: 13.5 (#291)

BenchmarkGemini 3.5 FlashQwen1.5-32B
GPQA Diamond92.8%30.7%
LMArena Expert14931126
SimpleQA Verified66.2%—
MMLU—74.4%

Multimodal Not comparable

Gemini 3.5 Flash: 45.7 (#13), Qwen1.5-32B: —

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Vision1311—
Blueprint-Bench 233.6%—
LMArena Document1463—

Multilingual Gemini 3.5 Flash leads

Gemini 3.5 Flash: 57.1 (#12), Qwen1.5-32B: 31.6 (#254)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Non-English14751106
LMArena Chinese15251176
LMArena French14901100
LMArena German15001058
LMArena Japanese14811027
LMArena Korean14531007
LMArena Russian14911073
LMArena Spanish14781089

Instruction Following Gemini 3.5 Flash leads

Gemini 3.5 Flash: 77.2 (#29), Qwen1.5-32B: 58.0 (#260)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Instruction Following14661116

Long Context Gemini 3.5 Flash leads

Gemini 3.5 Flash: 45.3 (#39), Qwen1.5-32B: 34.7 (#241)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Longer Query14811146

Writing & Preference Gemini 3.5 Flash leads

Gemini 3.5 Flash: 65.5 (#46), Qwen1.5-32B: 34.4 (#266)

BenchmarkGemini 3.5 FlashQwen1.5-32B
LMArena Text14811137
LMArena Creative Writing14671083
LMArena Multi-Turn14821140
EQ-Bench 41087—

Frequently asked questions

Is Gemini 3.5 Flash better than Qwen1.5-32B?

Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 30.0 on the Noometry Index.

Is Gemini 3.5 Flash or Qwen1.5-32B better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.1 versus 31.1 in the Noometry coding category.

How many benchmarks do Gemini 3.5 Flash and Qwen1.5-32B share?

18 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Qwen1.5-32B has 21.

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