Noometry

Model comparison

Gemini 2.0 Flash-Lite vs Llama 3-8B

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 25.5 on the Noometry Index.

Last verified . 19 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 35.0 to 7.8.
  • The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 43.9% for Llama 3-8B.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Flash-LiteLlama 3-8B
ProviderGoogleMeta
Noometry Index37.825.5
Released2025-02-052024-04-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3234

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Category by category

Coding Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 37.9 (#185), Llama 3-8B: 31.0 (#289)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Coding13221152
BigCodeBench Instruct—31.9%
LiveBench Coding47.1%—
BigCodeBench Complete—36.9%
HumanEval+—56.7%
MBPP+—54.8%

Reasoning Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 22.0 (#210), Llama 3-8B: 14.3 (#326)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Hard Prompts13241133
DTBench52.5%43.9%
ForecastBench57.158.6
Chess Puzzles—0%
LiveBench Reasoning50.1%—
LiveBench Data Analysis65.5%—
Adversarial NLI—57.3%
Epoch Capabilities Index—116.45
LiveBench54.3%—
WinoGrande—75.7%

Math Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 34.1 (#196), Llama 3-8B: 8.8 (#323)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Math13091151
OTIS Mock AIME 2024-2025—1.9%
Omni-MATH37.4%—
LiveBench Math58.1%—
MATH Level 5—6.1%

Knowledge Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 35.0 (#189), Llama 3-8B: 7.8 (#308)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Expert13051113
GPQA Diamond—26.1%
MMLU-Pro72%—
GPQA (HELM)50%—
ARC (AI2) Challenge—82.8%
MMLU—68.8%
OpenBookQA—82.6%
TriviaQA—67.7%

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 31.2 (#109), Llama 3-8B: —

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Vision1100—

Multilingual Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 46.0 (#161), Llama 3-8B: 30.8 (#261)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Non-English13231098
LMArena Chinese13391076
LMArena French13471159
LMArena German13061104
LMArena Japanese1301967
LMArena Korean13251004
LMArena Russian13281109
LMArena Spanish13131173

Instruction Following Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 70.4 (#163), Llama 3-8B: 58.4 (#260)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Instruction Following13051127
LiveBench Instruction Following78.3%—
IFEval82.4%—

Long Context Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 40.1 (#160), Llama 3-8B: 34.2 (#251)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Longer Query13201128

Writing & Preference Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 51.7 (#177), Llama 3-8B: 37.5 (#256)

BenchmarkGemini 2.0 Flash-LiteLlama 3-8B
LMArena Text13301166
LMArena Creative Writing13191150
LMArena Multi-Turn13071152
WildBench79%—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than Llama 3-8B?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 25.5 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or Llama 3-8B better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 31.0 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and Llama 3-8B share?

19 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Llama 3-8B has 34.

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