Noometry

Model comparison

Gemini 2.0 Flash-Lite vs Qwen1.5-72B

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 30.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.3

Rank #189 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.3

Rank #282 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 7 categories and Qwen1.5-72B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 34.6 to 11.5.
  • Qwen1.5-72B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Flash-LiteQwen1.5-72B
ProviderGoogleAlibaba (Qwen)
Noometry Index37.330.3
Released2025-02-052024-02-04
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3222

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Category by category

Coding Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 37.4 (#181), Qwen1.5-72B: 31.4 (#272)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Coding13221166
BigCodeBench Instruct—33.2%
LiveBench Coding47.1%—
BigCodeBench Complete—40.3%
HumanEval+—59.1%
MBPP+—61.6%

Reasoning Too close to call

Gemini 2.0 Flash-Lite: 21.2 (#203), Qwen1.5-72B: 21.2 (#201)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Hard Prompts13241148
LiveBench Reasoning50.1%—
DTBench52.5%—
LiveBench Data Analysis65.5%—
ForecastBench57.1—
LiveBench54.3%—

Math Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 31.8 (#192), Qwen1.5-72B: 30.7 (#205)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Math13091164
Omni-MATH37.4%—
LiveBench Math58.1%—

Knowledge Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 34.6 (#185), Qwen1.5-72B: 11.5 (#295)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Expert13051136
GPQA Diamond—28.8%
MMLU-Pro72%—
GPQA (HELM)50%—

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 30.6 (#103), Qwen1.5-72B: —

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Vision1100—

Multilingual Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 46.2 (#156), Qwen1.5-72B: 33.4 (#248)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Non-English13231135
LMArena Chinese13391186
LMArena French13461158
LMArena German13061084
LMArena Japanese13021061
LMArena Korean13251049
LMArena Russian13281104
LMArena Spanish13131110

Instruction Following Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 70.6 (#158), Qwen1.5-72B: 59.6 (#251)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Instruction Following13051142
LiveBench Instruction Following78.3%—
IFEval82.4%—

Long Context Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 40.1 (#155), Qwen1.5-72B: 35.0 (#238)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Longer Query13211157

Writing & Preference Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 51.9 (#172), Qwen1.5-72B: 37.4 (#253)

BenchmarkGemini 2.0 Flash-LiteQwen1.5-72B
LMArena Text13301166
LMArena Creative Writing13191137
LMArena Multi-Turn13071160
WildBench79%—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than Qwen1.5-72B?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 30.3 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or Qwen1.5-72B better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.4 versus 31.4 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and Qwen1.5-72B share?

17 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Qwen1.5-72B has 22.

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