Noometry

Model comparison

Gemini 2.0 Flash-Lite vs Llama 2-13B

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 29.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 2.0 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 2.0 Flash-Lite leads 51.7 to 29.8.
  • The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 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 2.0 Flash-LiteLlama 2-13B
ProviderGoogleMeta
Noometry Index37.829.6
Released2025-02-052023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3232

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 37.9 (#185), Llama 2-13B: 30.9 (#291)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Coding13221062
LiveBench Coding47.1%—

Reasoning Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 22.0 (#210), Llama 2-13B: 12.8 (#337)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Hard Prompts13241051
DTBench52.5%42.2%
Chess Puzzles—0%
LiveBench Reasoning50.1%—
LiveBench Data Analysis65.5%—
BIG-Bench Hard—58.2%
Epoch Capabilities Index—106.17
ForecastBench57.1—
HellaSwag—80.7%
LAMBADA—76.5%
LiveBench54.3%—
PIQA—80.8%
WinoGrande—72.8%

Math Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 34.1 (#196), Llama 2-13B: 31.1 (#229)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Math13091065
Omni-MATH37.4%—
LiveBench Math58.1%—
GSM8K—36.9%

Knowledge Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 35.0 (#189), Llama 2-13B: 28.1 (#249)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Expert13051030
MMLU-Pro72%—
GPQA (HELM)50%—
ARC (AI2) Challenge—60.3%
BoolQ—82.4%
MMLU—55.6%
OpenBookQA—57%
TriviaQA—79.6%

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 31.2 (#109), Llama 2-13B: —

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Vision1100—
ScienceQA—55.8%

Multilingual Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 46.0 (#161), Llama 2-13B: 26.5 (#279)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Non-English13231024
LMArena Chinese13391001
LMArena French13471044
LMArena German13061009
LMArena Japanese1301894
LMArena Korean1325953
LMArena Russian13281055
LMArena Spanish13131087

Instruction Following Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 70.4 (#163), Llama 2-13B: 53.3 (#287)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Instruction Following13051045
LiveBench Instruction Following78.3%—
IFEval82.4%—

Long Context Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 40.1 (#160), Llama 2-13B: 32.3 (#269)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Longer Query13201064

Writing & Preference Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 51.7 (#177), Llama 2-13B: 29.8 (#289)

BenchmarkGemini 2.0 Flash-LiteLlama 2-13B
LMArena Text13301084
LMArena Creative Writing13191047
LMArena Multi-Turn13071050
WildBench79%—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than Llama 2-13B?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 29.6 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or Llama 2-13B better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 30.9 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and Llama 2-13B share?

18 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Llama 2-13B has 32.

Related comparisons

Go deeper