Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Llama 2-70B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 24.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Gemini 2.5 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 math, where Gemini 2.5 Flash-Lite leads 38.0 to 8.1.
  • The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 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 2.5 Flash-LiteLlama 2-70B
ProviderGoogleMeta
Noometry Index37.024.4
Released2025-06-172023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3335

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 2-70B: 31.4 (#286)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Coding13731079
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 2-70B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 2-70B: 14.4 (#325)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Hard Prompts13771073
DTBench62.8%41.6%
Epoch Capabilities Index133.94113.79
Kagi LLM Benchmark40.5%—
LMCA18.1%—
BIG-Bench Hard—64.9%
CommonsenseQA 2.0—50%
ForecastBench—51.4
HellaSwag—85.3%
LAMBADA—78.9%
PIQA—82.8%
WinoGrande—80.2%

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 2-70B: 8.1 (#326)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Math13731091
OTIS Mock AIME 2024-2025—0%
Omni-MATH48%—
MATH Level 5—3.3%
GSM8K—69.6%

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 2-70B: 7.4 (#310)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Expert13731039
GPQA Diamond—26.3%
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
ARC (AI2) Challenge—78.3%
BoolQ—88.6%
MMLU—69.9%
OpenBookQA—60.2%
TriviaQA—87.6%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 2-70B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Vision1198—
VPCT30%—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 2-70B: 27.7 (#274)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Non-English13691045
LMArena Chinese1404995
LMArena French13881090
LMArena German13891041
LMArena Japanese1359927
LMArena Korean1360964
LMArena Russian13731083
LMArena Spanish13961143

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 2-70B: 54.9 (#278)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Instruction Following13671071
IFEval81%—

Long Context Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 2-70B: 32.3 (#270)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Longer Query13731062
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 2-70B: 32.3 (#279)

BenchmarkGemini 2.5 Flash-LiteLlama 2-70B
LMArena Text13791115
LMArena Creative Writing13671075
LMArena Multi-Turn13661088
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Llama 2-70B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 24.4 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or Llama 2-70B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 31.4 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and Llama 2-70B share?

19 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 2-70B has 35.

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