Model comparison

Gemini 2.5 Flash-Lite vs Qwen1.5-7B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Qwen1.5-7B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 29.6.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and Qwen1.5-7B specifications
Gemini 2.5 Flash-LiteQwen1.5-7B
ProviderGoogleAlibaba (Qwen)
Noometry Index37.031.4
Released2025-06-172024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3313

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen1.5-7B: 32.2 (#276)

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Coding13731107
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen1.5-7B: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen1.5-7B: 20.4 (#240)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Hard Prompts13771065
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), Qwen1.5-7B: 31.4 (#224)

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Math13731080
Omni-MATH48%—

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen1.5-7B: 28.7 (#243)

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Expert13731055
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
MMLU—62.6%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen1.5-7B: —

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Vision1198—
VPCT30%—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen1.5-7B: 28.5 (#271)

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Non-English13691058
LMArena Chinese14041141
LMArena Russian13731006
LMArena French1388—
LMArena German1389—
LMArena Japanese1359—
LMArena Korean1360—
LMArena Spanish1396—

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen1.5-7B: 54.1 (#281)

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Instruction Following13671058
IFEval81%—

Long Context Too close to call

Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen1.5-7B: 33.1 (#266)

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Longer Query13731090
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen1.5-7B: 29.6 (#293)

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen1.5-7B
LMArena Text13791083
LMArena Creative Writing13671035
LMArena Multi-Turn13661062
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Qwen1.5-7B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.4 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or Qwen1.5-7B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 32.2 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and Qwen1.5-7B share?

12 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen1.5-7B has 13.

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