Model comparison

Gemini 2.5 Flash-Lite vs Qwen3 14B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 35.0 on the Noometry Index.

Last verified . 7 shared benchmarks.

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

Qwen3 14B Alibaba (Qwen)

35.0

Rank #222 Confirmed

Summary

  • They share 7 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Qwen3 14B in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 14B leads 39.2 to 32.1.
  • The biggest single-benchmark swing is Fiction.LiveBench: 47.2% for Gemini 2.5 Flash-Lite and 62.5% for Qwen3 14B.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
  • Qwen3 14B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Lite and Qwen3 14B specifications
Gemini 2.5 Flash-LiteQwen3 14B
ProviderGoogleAlibaba (Qwen)
Noometry Index36.435.0
Released2025-06-172025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output66K8K
Input $ / M tokens$0.10$0.35
Output $ / M tokens$0.40$1.40
Results tracked3312

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#167), Qwen3 14B: 36.7 (#191)

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
SciCode—31.6%
WeirdML35.2%—
LMArena Coding1373—
ALE-Bench325.9—

Agentic & Tool Use Qwen3 14B leads

Gemini 2.5 Flash-Lite: 27.8 (#89), Qwen3 14B: 29.4 (#78)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
Berkeley Function Calling Leaderboard36.9%41%

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 21.5 (#196), Qwen3 14B: 18.1 (#272)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
Kagi LLM Benchmark40.5%49.1%
DTBench62.8%64%
LMCA18.1%18.2%
Epoch Capabilities Index133.93138.23
CritPt—0%
Chess Puzzles—4%
LMArena Hard Prompts1377—

Math Qwen3 14B leads

Gemini 2.5 Flash-Lite: 35.5 (#144), Qwen3 14B: 37.0 (#102)

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
OTIS Mock AIME 2024-2025—66.4%
Omni-MATH48%—
LMArena Math1373—

Knowledge Qwen3 14B leads

Gemini 2.5 Flash-Lite: 32.1 (#206), Qwen3 14B: 39.2 (#124)

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
Vectara Hallucination Rate3.3%5.4%
GPQA Diamond—63.8%
MMLU-Pro53.7%—
GPQA (HELM)30.9%—
LMArena Expert1373—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 28.6 (#109), Qwen3 14B: —

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
LMArena Vision1198—
VPCT30%—

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.5 (#129), Qwen3 14B: —

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
LMArena Non-English1369—
LMArena Chinese1404—
LMArena French1388—
LMArena German1390—
LMArena Japanese1359—
LMArena Korean1358—
LMArena Russian1373—
LMArena Spanish1396—

Instruction Following Not comparable

Gemini 2.5 Flash-Lite: 70.2 (#163), Qwen3 14B: —

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
IFEval81%—
LMArena Instruction Following1366—

Long Context Qwen3 14B leads

Gemini 2.5 Flash-Lite: 33.3 (#257), Qwen3 14B: 38.0 (#201)

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
Fiction.LiveBench47.2%62.5%
LMArena Longer Query1373—

Writing & Preference Not comparable

Gemini 2.5 Flash-Lite: 57.0 (#130), Qwen3 14B: —

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteQwen3 14B
LMArena Text1379—
LMArena Creative Writing1366—
WildBench81.8%—
LMArena Multi-Turn1367—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Qwen3 14B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 35.0 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3 14B?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

Is Gemini 2.5 Flash-Lite or Qwen3 14B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 36.7 in the Noometry coding category.

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 Qwen3 14B share?

7 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3 14B has 12.

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