Noometry

Model comparison

Gemini 2.5 Pro vs Llama 4 Scout

Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 27.4 on the Noometry Index. Llama 4 Scout costs 23× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 41 shared benchmarks.

Gemini 2.5 Pro Google

44.9

Rank #67 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 41 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Gemini 2.5 Pro leads 59.7 to 27.5.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 7.8% for Llama 4 Scout.
  • Llama 4 Scout is cheaper at $0.10 / $0.30 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 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProLlama 4 Scout
ProviderGoogleMeta
Noometry Index44.927.4
Released2025-03-252025-04-05
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$1.25$0.10
Output $ / M tokens$10$0.30
Results tracked7843

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.8 (#86), Llama 4 Scout: 19.9 (#334)

BenchmarkGemini 2.5 ProLlama 4 Scout
SWE-bench Verified (bash only)53.6%9.1%
SciCode42.8%17%
LMArena Coding14521286
SWE-bench Verified57.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
GSO3.9%—
WeirdML54%—
LiveBench Coding85.9%—
BigCodeBench Complete—43.1%
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.1 (#81), Llama 4 Scout: 24.4 (#109)

BenchmarkGemini 2.5 ProLlama 4 Scout
Terminal-Bench32.6%—
Berkeley Function Calling Leaderboard—28.1%
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#85), Llama 4 Scout: 9.2 (#339)

BenchmarkGemini 2.5 ProLlama 4 Scout
ARC-AGI-24.9%0%
Kagi LLM Benchmark70.3%36.9%
ARC-AGI-141%0.5%
CritPt2%0%
LMArena Hard Prompts14551266
DTBench82.4%57.9%
LMCA34.8%12%
Epoch Capabilities Index145.32129.64
ForecastBench61.357.5
SimpleBench62.4%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
LiveBench Data Analysis79.9%—
LiveBench82.3%—

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 31.9 (#191), Llama 4 Scout: 18.4 (#280)

BenchmarkGemini 2.5 ProLlama 4 Scout
OTIS Mock AIME 2024-202584.7%7.8%
Omni-MATH41.6%37.3%
LMArena Math14501286
MATH Level 595.9%62.3%
FrontierMath (Feb 2025 set)14.1%0%
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
LiveBench Math90.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.8 (#41), Llama 4 Scout: 31.8 (#208)

BenchmarkGemini 2.5 ProLlama 4 Scout
GPQA Diamond85.3%51.8%
MMLU-Pro86.3%74.2%
Vectara Hallucination Rate7%7.7%
GPQA (HELM)74.9%50.7%
LMArena Expert14521236
Humanity's Last Exam21.6%—
Confabulations10.6%—

Multimodal Gemini 2.5 Pro leads

Gemini 2.5 Pro: 44.5 (#16), Llama 4 Scout: 31.6 (#98)

BenchmarkGemini 2.5 ProLlama 4 Scout
LMArena Vision12631118
SpatialViz-Bench44.7%34.2%
GeoBench86%—
VPCT48%—
LMArena Document1421—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.5 (#30), Llama 4 Scout: 41.3 (#207)

BenchmarkGemini 2.5 ProLlama 4 Scout
LMArena Non-English14521253
LMArena Chinese15071256
LMArena French14731283
LMArena German14871274
LMArena Japanese14621209
LMArena Korean14351207
LMArena Russian14601263
LMArena Spanish14731277

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.2 (#71), Llama 4 Scout: 66.0 (#212)

BenchmarkGemini 2.5 ProLlama 4 Scout
IFEval84%81.8%
LMArena Instruction Following14361248
LiveBench Instruction Following80.6%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.7 (#5), Llama 4 Scout: 27.5 (#289)

BenchmarkGemini 2.5 ProLlama 4 Scout
Fiction.LiveBench91.7%36%
LMArena Longer Query14491265

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.9 (#60), Llama 4 Scout: 37.1 (#256)

BenchmarkGemini 2.5 ProLlama 4 Scout
LMArena Text14581279
LMArena Creative Writing14531249
EQ-Bench Creative Writing1421783
WildBench85.7%78%
LMArena Multi-Turn14531281
Short-Story Creative Writing83.8%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Llama 4 Scout?

Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 27.4 on the Noometry Index. Llama 4 Scout costs 23× 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 4 Scout?

Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Llama 4 Scout better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.8 versus 19.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 2.5 Pro and Llama 4 Scout share?

41 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Llama 4 Scout has 43.

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