Noometry

Model comparison

Gemini 2.5 Flash-Lite vs phi-3-medium 14B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.1 on the Noometry Index.

Last verified . 1 shared benchmarks.

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

phi-3-medium 14B Microsoft

29.1

Rank #306 Reported

Summary

  • They share 1 benchmark with published results for both. Gemini 2.5 Flash-Lite scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Flash-Lite leads 32.1 to 9.1.
  • phi-3-medium 14B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-Litephi-3-medium 14B
ProviderGoogleMicrosoft
Noometry Index36.429.1
Released2025-06-172024-04-23
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: 38.0 (#167), phi-3-medium 14B: 36.3 (#198)

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
WeirdML35.2%—
BigCodeBench Instruct—37.6%
LMArena Coding1373—
BigCodeBench Complete—48.7%
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 27.8 (#89), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Not comparable

Gemini 2.5 Flash-Lite: 21.5 (#196), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
Epoch Capabilities Index133.93121.18
Kagi LLM Benchmark40.5%—
LMArena Hard Prompts1377—
DTBench62.8%—
LMCA18.1%—
Adversarial NLI—55.8%
BIG-Bench Hard—81.4%
HellaSwag—82.4%
WinoGrande—81.5%

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 35.5 (#144), phi-3-medium 14B: 25.2 (#249)

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
Omni-MATH48%—
LMArena Math1373—
MATH Level 5—17.6%

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.1 (#206), phi-3-medium 14B: 9.1 (#301)

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
GPQA Diamond—27.6%
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
LMArena Expert1373—
ARC (AI2) Challenge—91.6%
MMLU—78%
OpenBookQA—87.4%
TriviaQA—73.9%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 28.6 (#109), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
LMArena Vision1198—
VPCT30%—

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.5 (#129), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 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), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
IFEval81%—
LMArena Instruction Following1366—

Long Context Not comparable

Gemini 2.5 Flash-Lite: 33.3 (#257), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
Fiction.LiveBench47.2%—
LMArena Longer Query1373—

Writing & Preference Not comparable

Gemini 2.5 Flash-Lite: 57.0 (#130), phi-3-medium 14B: —

BenchmarkGemini 2.5 Flash-Litephi-3-medium 14B
LMArena Text1379—
LMArena Creative Writing1366—
WildBench81.8%—
LMArena Multi-Turn1367—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than phi-3-medium 14B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.1 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or phi-3-medium 14B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 36.3 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and phi-3-medium 14B share?

1 benchmark has published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and phi-3-medium 14B has 13.

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