Noometry

Model comparison

Gemini 2.0 Flash-Lite vs Llama 2-70B

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 24.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 8 categories and Llama 2-70B 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 7.4.
  • The biggest single-benchmark swing is DTBench: 52.5% for Gemini 2.0 Flash-Lite and 41.6% for Llama 2-70B.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Flash-LiteLlama 2-70B
ProviderGoogleMeta
Noometry Index37.824.4
Released2025-02-052023-07-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3235

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Category by category

Coding Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 37.9 (#185), Llama 2-70B: 31.4 (#286)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Coding13221079
LiveBench Coding47.1%—

Reasoning Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 22.0 (#210), Llama 2-70B: 14.4 (#325)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Hard Prompts13241073
DTBench52.5%41.6%
ForecastBench57.151.4
LiveBench Reasoning50.1%—
LiveBench Data Analysis65.5%—
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
Epoch Capabilities Index—113.79
HellaSwag—85.3%
LAMBADA—78.9%
LiveBench54.3%—
PIQA—82.8%
WinoGrande—80.2%

Math Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 34.1 (#196), Llama 2-70B: 8.1 (#326)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Math13091091
OTIS Mock AIME 2024-2025—0%
Omni-MATH37.4%—
LiveBench Math58.1%—
MATH Level 5—3.3%
GSM8K—69.6%

Knowledge Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 35.0 (#189), Llama 2-70B: 7.4 (#310)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Expert13051039
GPQA Diamond—26.3%
MMLU-Pro72%—
GPQA (HELM)50%—
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multimodal Not comparable

Gemini 2.0 Flash-Lite: 31.2 (#109), Llama 2-70B: —

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Vision1100—

Multilingual Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 46.0 (#161), Llama 2-70B: 27.7 (#274)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Non-English13231045
LMArena Chinese1339995
LMArena French13471090
LMArena German13061041
LMArena Japanese1301927
LMArena Korean1325964
LMArena Russian13281083
LMArena Spanish13131143

Instruction Following Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 70.4 (#163), Llama 2-70B: 54.9 (#278)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Instruction Following13051071
LiveBench Instruction Following78.3%—
IFEval82.4%—

Long Context Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 40.1 (#160), Llama 2-70B: 32.3 (#270)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Longer Query13201062

Writing & Preference Gemini 2.0 Flash-Lite leads

Gemini 2.0 Flash-Lite: 51.7 (#177), Llama 2-70B: 32.3 (#279)

BenchmarkGemini 2.0 Flash-LiteLlama 2-70B
LMArena Text13301115
LMArena Creative Writing13191075
LMArena Multi-Turn13071088
WildBench79%—
LiveBench Language34.3%—

Frequently asked questions

Is Gemini 2.0 Flash-Lite better than Llama 2-70B?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 24.4 on the Noometry Index.

Is Gemini 2.0 Flash-Lite or Llama 2-70B better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 31.4 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Flash-Lite and Llama 2-70B share?

19 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Llama 2-70B has 35.

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