Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Llama 2-13B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.6 on the Noometry Index.

Last verified . 19 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 29.8.
  • The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 42.2% for Llama 2-13B.
  • Llama 2-13B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteLlama 2-13B
ProviderGoogleMeta
Noometry Index37.029.6
Released2025-06-172023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3332

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 2-13B: 30.9 (#291)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Coding13731062
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 2-13B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 2-13B: 12.8 (#337)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Hard Prompts13771051
DTBench62.8%42.2%
Epoch Capabilities Index133.94106.17
Kagi LLM Benchmark40.5%—
Chess Puzzles—0%
LMCA18.1%—
BIG-Bench Hard—58.2%
HellaSwag—80.7%
LAMBADA—76.5%
PIQA—80.8%
WinoGrande—72.8%

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 2-13B: 31.1 (#229)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Math13731065
Omni-MATH48%—
GSM8K—36.9%

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 2-13B: 28.1 (#249)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Expert13731030
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 2-13B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Vision1198—
VPCT30%—
ScienceQA—55.8%

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 2-13B: 26.5 (#279)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Non-English13691024
LMArena Chinese14041001
LMArena French13881044
LMArena German13891009
LMArena Japanese1359894
LMArena Korean1360953
LMArena Russian13731055
LMArena Spanish13961087

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 2-13B: 53.3 (#287)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Instruction Following13671045
IFEval81%—

Long Context Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 2-13B: 32.3 (#269)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Longer Query13731064
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 2-13B: 29.8 (#289)

BenchmarkGemini 2.5 Flash-LiteLlama 2-13B
LMArena Text13791084
LMArena Creative Writing13671047
LMArena Multi-Turn13661050
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Llama 2-13B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.6 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or Llama 2-13B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 30.9 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and Llama 2-13B share?

19 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 2-13B has 32.

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