Model comparison

Gemini 2.5 Pro vs Llama 3.2 3B

Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 28.4 on the Noometry Index. Llama 3.2 3B costs 29× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

Gemini 2.5 Pro Google

44.9

Rank #67 Confirmed

Llama 3.2 3B Meta

28.4

Rank #318 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Llama 3.2 3B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.5 Pro leads 63.9 to 24.9.
  • The biggest single-benchmark swing is BALROG: 43.3% for Gemini 2.5 Pro and 10.1% for Llama 3.2 3B.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro 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 Pro and Llama 3.2 3B specifications
Gemini 2.5 ProLlama 3.2 3B
ProviderGoogleMeta
Noometry Index44.928.4
Released2025-03-252024-09-24
WeightsProprietaryOpen
Context window1.05M131K
Max output66K118K
Input $ / M tokens$1.25$0.05
Output $ / M tokens$10$0.33
Results tracked7818

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.8 (#86), Llama 3.2 3B: 27.1 (#314)

Coding benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Coding14521098
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
SciCode42.8%—
GSO3.9%—
WeirdML54%—
BigCodeBench Instruct—23.4%
LiveBench Coding85.9%—
BigCodeBench Complete—28.3%
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.1 (#81), Llama 3.2 3B: 19.9 (#135)

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
BALROG43.3%10.1%
Terminal-Bench32.6%—
Berkeley Function Calling Leaderboard—21.9%
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#85), Llama 3.2 3B: 20.1 (#225)

Reasoning benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Hard Prompts14551095
ARC-AGI-24.9%—
SimpleBench62.4%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Epoch Capabilities Index145.32—
ForecastBench61.3—
LiveBench82.3%—

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 31.9 (#191), Llama 3.2 3B: 29.9 (#213)

Math benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Math14501126
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
Omni-MATH41.6%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.8 (#41), Llama 3.2 3B: 29.1 (#232)

Knowledge benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Expert14521090
GPQA Diamond85.3%—
Humanity's Last Exam21.6%—
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—

Multimodal Not comparable

Gemini 2.5 Pro: 44.5 (#16), Llama 3.2 3B: —

Multimodal benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.5 (#30), Llama 3.2 3B: 26.4 (#276)

Multilingual benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Non-English14521019
LMArena Chinese15071017
LMArena German14871056
LMArena Russian1460949
LMArena French1473—
LMArena Japanese1462—
LMArena Korean1435—
LMArena Spanish1473—

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.2 (#71), Llama 3.2 3B: 56.3 (#270)

Instruction Following benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Instruction Following14361089
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.7 (#5), Llama 3.2 3B: 33.4 (#256)

Long Context benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Longer Query14491101
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.9 (#60), Llama 3.2 3B: 24.9 (#302)

Writing & Preference benchmarks
BenchmarkGemini 2.5 ProLlama 3.2 3B
LMArena Text14581110
LMArena Creative Writing14531094
EQ-Bench Creative Writing1421595
LMArena Multi-Turn14531105
Short-Story Creative Writing83.8%—
WildBench85.7%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Llama 3.2 3B?

Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 28.4 on the Noometry Index. Llama 3.2 3B costs 29× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro 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 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Llama 3.2 3B better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.8 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Pro and Llama 3.2 3B share?

15 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Llama 3.2 3B has 18.

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