Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Llama 3.2 3B

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Llama 3.2 3B Meta

28.9

Rank #321 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 8 categories and Llama 3.2 3B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.5 Flash-Lite leads 56.8 to 24.7.
  • The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 36.9% for Gemini 2.5 Flash-Lite and 21.9% for Llama 3.2 3B.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.10 / $0.40 for Gemini 2.5 Flash-Lite.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
  • Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteLlama 3.2 3B
ProviderGoogleMeta
Noometry Index37.028.9
Released2025-06-172024-09-24
WeightsProprietaryOpen
Context window1.05M131K
Max output66K118K
Input $ / M tokens$0.10$0.05
Output $ / M tokens$0.40$0.33
Results tracked3318

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Llama 3.2 3B: 27.6 (#319)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Coding13731098
WeirdML35.2%—
BigCodeBench Instruct—23.4%
BigCodeBench Complete—28.3%
ALE-Bench325.9—

Agentic & Tool Use Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 28.0 (#96), Llama 3.2 3B: 20.1 (#143)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
Berkeley Function Calling Leaderboard36.9%21.9%
BALROG—10.1%

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Llama 3.2 3B: 21.0 (#228)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Hard Prompts13771095
Kagi LLM Benchmark40.5%—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.0 (#144), Llama 3.2 3B: 32.4 (#214)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Math13731126
Omni-MATH48%—

Knowledge Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 32.5 (#210), Llama 3.2 3B: 29.7 (#235)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Expert13731090
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Llama 3.2 3B: —

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Vision1198—
VPCT30%—

Multilingual Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 49.3 (#134), Llama 3.2 3B: 26.2 (#281)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Non-English13691019
LMArena Chinese14041017
LMArena German13891056
LMArena Russian1373949
LMArena French1388—
LMArena Japanese1359—
LMArena Korean1360—
LMArena Spanish1396—

Instruction Following Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 70.0 (#168), Llama 3.2 3B: 56.0 (#275)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Instruction Following13671089
IFEval81%—

Long Context Too close to call

Gemini 2.5 Flash-Lite: 33.3 (#262), Llama 3.2 3B: 33.4 (#261)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Longer Query13731100
Fiction.LiveBench47.2%—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Llama 3.2 3B: 24.7 (#307)

BenchmarkGemini 2.5 Flash-LiteLlama 3.2 3B
LMArena Text13791110
LMArena Creative Writing13671094
LMArena Multi-Turn13661105
EQ-Bench Creative Writing—595
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Llama 3.2 3B?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 28.9 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.

Is Gemini 2.5 Flash-Lite or Llama 3.2 3B better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Flash-Lite and Llama 3.2 3B share?

14 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Llama 3.2 3B has 18.

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