Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Llama 2-7B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 2-7B 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 28.0.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteLlama 2-7B
ProviderGoogleMeta
Noometry Index37.029.1
Released2025-06-172023-07-18
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3329

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 2-7B: 29.2 (#307)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Coding13731002
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 2-7B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
Berkeley Function Calling Leaderboard36.9%—

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 2-7B: 15.7 (#312)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Hard Prompts13771009
Epoch Capabilities Index133.9499.06
Kagi LLM Benchmark40.5%—
Chess Puzzles—0%
DTBench62.8%—
LMCA18.1%—
BIG-Bench Hard—39.2%
HellaSwag—77.2%
LAMBADA—73.3%
PIQA—78.8%
WinoGrande—69.2%

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 2-7B: 30.7 (#233)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Math13731042
Omni-MATH48%—
GSM8K—16.7%

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 2-7B: 28.2 (#248)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Expert13731036
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
ARC (AI2) Challenge—45.9%
BoolQ—77.9%
MMLU—45.8%
OpenBookQA—58.6%
TriviaQA—73.7%

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 2-7B: —

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Vision1198—
VPCT30%—
ScienceQA—43.1%

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 2-7B: 23.8 (#293)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Non-English1369973
LMArena Chinese1404973
LMArena French1388970
LMArena German1389978
LMArena Russian1373995
LMArena Spanish13961007
LMArena Japanese1359—
LMArena Korean1360—

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 2-7B: 50.8 (#298)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Instruction Following13671006
IFEval81%—

Long Context Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 2-7B: 30.4 (#287)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Longer Query1373999
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 2-7B: 28.0 (#298)

BenchmarkGemini 2.5 Flash-LiteLlama 2-7B
LMArena Text13791053
LMArena Creative Writing13671033
LMArena Multi-Turn13661029
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Llama 2-7B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.1 on the Noometry Index.

Is Gemini 2.5 Flash-Lite or Llama 2-7B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 29.2 in the Noometry coding category.

How many benchmarks do Gemini 2.5 Flash-Lite and Llama 2-7B share?

16 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 2-7B has 29.

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