Noometry

Model comparison

Gemini 3.1 Pro Preview vs Llama 4 Scout

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 27.4 on the Noometry Index. Llama 4 Scout costs 30× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

Gemini 3.1 Pro Preview Google

56.7

Rank #20 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 31 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 9.2.
  • The biggest single-benchmark swing is ARC-AGI-1: 98% for Gemini 3.1 Pro Preview and 0.5% for Llama 4 Scout.
  • Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
  • Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Gemini 3.1 Pro PreviewLlama 4 Scout
ProviderGoogleMeta
Noometry Index56.727.4
Released2026-02-192025-04-05
WeightsProprietaryOpen
Context window1.05M128K
Max output66K4K
Input $ / M tokens$2$0.10
Output $ / M tokens$12$0.30
Results tracked7143

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Category by category

Coding Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 42.7 (#88), Llama 4 Scout: 19.9 (#334)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
SciCode58.9%17%
LMArena Coding14831286
SWE-bench Verified75.6%—
DeepSWE11.7%—
SWE-bench Verified (bash only)—9.1%
LMArena WebDev1446—
GSO22.6%—
WeirdML72.1%—
MirrorCode8.9%—
BigCodeBench Complete—43.1%
ALE-Bench1,161—
AlgoTune2.02—

Agentic & Tool Use Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 37.7 (#33), Llama 4 Scout: 24.4 (#109)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
Terminal-Bench80.2%—
APEX-Agents35.3%—
Berkeley Function Calling Leaderboard—28.1%
τ²-bench Banking26%—
DeepResearch Bench47.8%—
PostTrainBench22%—
BALROG57%—
ExploitBench26.1%—
GBAEval0.8%—
GDP.pdf17%—
LMArena Search1211—
METR Time Horizons77%—
Vending-Bench 23,774—

Reasoning Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.7 (#9), Llama 4 Scout: 9.2 (#339)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
ARC-AGI-277.1%0%
ARC-AGI-198%0.5%
CritPt17.7%0%
LMArena Hard Prompts14841266
DTBench97.1%57.9%
LMCA53.8%12%
Epoch Capabilities Index154.92129.64
ForecastBench5957.5
SimpleBench79.6%—
Kagi LLM Benchmark—36.9%
NYT Connections (extended)97.4%—
Chess Puzzles55%—
EnigmaEval36.8%—
Thematic Generalization79.4%—
EBR-Bench14.3%—
Mystery Game Puzzles34%—

Math Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 61.8 (#28), Llama 4 Scout: 18.4 (#280)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
OTIS Mock AIME 2024-202595.6%7.8%
LMArena Math14851286
FrontierMath (Feb 2025 set)36.9%0%
FrontierMath (Tiers 1-3)59.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions86.5%—
ProofBench26%—
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath Tier 4 (v1)16.7%—

Knowledge Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.8 (#3), Llama 4 Scout: 31.8 (#208)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
GPQA Diamond94.4%51.8%
Vectara Hallucination Rate10.4%7.7%
LMArena Expert14841236
Humanity's Last Exam46.4%—
SimpleQA Verified73.5%—
MMLU-Pro—74.2%
GPQA (HELM)—50.7%

Multimodal Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 38.1 (#60), Llama 4 Scout: 31.6 (#98)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
LMArena Vision12961118
Blueprint-Bench 226.5%—
Furniture Assembly26.7%—
LMArena Document1444—
SpatialViz-Bench—34.2%

Multilingual Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 57.1 (#11), Llama 4 Scout: 41.3 (#207)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
LMArena Non-English14751253
LMArena Chinese15281256
LMArena French14881283
LMArena German14911274
LMArena Japanese14941209
LMArena Korean14581207
LMArena Russian14961263
LMArena Spanish14801277

Instruction Following Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 77.1 (#31), Llama 4 Scout: 66.0 (#212)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
LMArena Instruction Following14651248
IFEval—81.8%

Long Context Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 47.3 (#17), Llama 4 Scout: 27.5 (#289)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
LMArena Longer Query14821265
Fiction.LiveBench—36%
CL-bench20.8%—
CL-bench Life16.9%—

Writing & Preference Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 66.3 (#36), Llama 4 Scout: 37.1 (#256)

BenchmarkGemini 3.1 Pro PreviewLlama 4 Scout
LMArena Text14801279
LMArena Creative Writing14821249
EQ-Bench Creative Writing1491783
LMArena Multi-Turn14861281
WildBench—78%
EQ-Bench 41142—

Frequently asked questions

Is Gemini 3.1 Pro Preview better than Llama 4 Scout?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 27.4 on the Noometry Index. Llama 4 Scout costs 30× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.

Is Gemini 3.1 Pro Preview or Llama 4 Scout better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 19.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.1 Pro Preview and Llama 4 Scout share?

31 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Llama 4 Scout has 43.

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