Model comparison

Gemini 2.5 Flash-Lite vs Qwen1.5-14B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 32.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Qwen1.5-14B in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 33.6.
  • Qwen1.5-14B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and Qwen1.5-14B specifications
Gemini 2.5 Flash-LiteQwen1.5-14B
ProviderGoogleAlibaba (Qwen)
Noometry Index37.032.7
Released2025-06-172024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3317

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen1.5-14B: 33.1 (#263)

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Coding13731138
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen1.5-14B: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Too close to call

Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen1.5-14B: 21.4 (#223)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Hard Prompts13771113
Kagi LLM Benchmark40.5%—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen1.5-14B: 32.4 (#215)

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Math13731125
Omni-MATH48%—

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen1.5-14B: 29.8 (#232)

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Expert13731094
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
MMLU—68.6%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen1.5-14B: —

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Vision1198—
VPCT30%—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen1.5-14B: 30.7 (#262)

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Non-English13691095
LMArena Chinese14041147
LMArena French13881116
LMArena German13891043
LMArena Japanese13591019
LMArena Russian13731046
LMArena Spanish13961085
LMArena Korean1360—

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen1.5-14B: 56.8 (#271)

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Instruction Following13671102
IFEval81%—

Long Context Too close to call

Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen1.5-14B: 33.7 (#257)

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Longer Query13731113
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen1.5-14B: 33.6 (#276)

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-14B
LMArena Text13791128
LMArena Creative Writing13671091
LMArena Multi-Turn13661110
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Qwen1.5-14B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 32.7 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or Qwen1.5-14B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.1 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and Qwen1.5-14B share?

16 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen1.5-14B has 17.

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