Model comparison

Gemini 2.5 Flash-Lite vs Qwen2.5-VL 72B Instruct

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Qwen2.5-VL 72B Instruct in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where Gemini 2.5 Flash-Lite leads 28.0 to 18.6.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and Qwen2.5-VL 72B Instruct specifications
Gemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
ProviderGoogleAlibaba (Qwen)
Noometry Index37.029.9
Released2025-06-172024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output66K8K
Input $ / M tokens$0.10$2.80
Output $ / M tokens$0.40$8.40
Results tracked336

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Category by category

Coding Not comparable

Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen2.5-VL 72B Instruct: —

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
WeirdML35.2%—
LMArena Coding1373—
ALE-Bench325.9—

Agentic & Tool Use Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen2.5-VL 72B Instruct: 18.6 (#144)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
Berkeley Function Calling Leaderboard36.9%—
OSWorld—5%

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen2.5-VL 72B Instruct: 20.7 (#233)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
Kagi LLM Benchmark40.5%36%
LMArena Hard Prompts1377—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math Not comparable

Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen2.5-VL 72B Instruct: —

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
Omni-MATH48%—
LMArena Math1373—

Knowledge Not comparable

Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen2.5-VL 72B Instruct: —

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
LMArena Expert1373—

Multimodal Qwen2.5-VL 72B Instruct leads

Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen2.5-VL 72B Instruct: 33.5 (#97)

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
LMArena Vision11981107
Video-MME—73.5%
GeoBench—62%
VPCT30%—
SpatialViz-Bench—33.3%

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen2.5-VL 72B Instruct: —

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
LMArena Non-English1369—
LMArena Chinese1404—
LMArena French1388—
LMArena German1389—
LMArena Japanese1359—
LMArena Korean1360—
LMArena Russian1373—
LMArena Spanish1396—

Instruction Following Not comparable

Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen2.5-VL 72B Instruct: —

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
IFEval81%—
LMArena Instruction Following1367—

Long Context Not comparable

Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen2.5-VL 72B Instruct: —

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
Fiction.LiveBench47.2%—
LMArena Longer Query1373—

Writing & Preference Not comparable

Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen2.5-VL 72B Instruct: —

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen2.5-VL 72B Instruct
LMArena Text1379—
LMArena Creative Writing1367—
WildBench81.8%—
LMArena Multi-Turn1366—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Qwen2.5-VL 72B Instruct?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Qwen2.5-VL 72B Instruct?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Flash-Lite and Qwen2.5-VL 72B Instruct share?

2 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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