Noometry

Model comparison

Llama 3-70B vs Llama 4 Scout

Llama 3-70B is the stronger model overall, scoring 28.5 to 27.4 on the Noometry Index.

Last verified . 25 shared benchmarks.

Llama 3-70B Meta

28.5

Rank #317 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Llama 3-70B scores higher in 4 categories and Llama 4 Scout in 5 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Llama 3-70B leads 35.3 to 19.9.
  • The biggest single-benchmark swing is MATH Level 5: 22.6% for Llama 3-70B and 62.3% for Llama 4 Scout.

Side by side

Llama 3-70BLlama 4 Scout
ProviderMetaMeta
Noometry Index28.527.4
Released2024-04-182025-04-05
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.30
Results tracked3143

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Category by category

Coding Llama 3-70B leads

Llama 3-70B: 35.3 (#215), Llama 4 Scout: 19.9 (#334)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Coding12061286
BigCodeBench Complete54.5%43.1%
SWE-bench Verified (bash only)—9.1%
SciCode—17%
BigCodeBench Instruct43.6%—
HumanEval+72%—
MBPP+69%—

Agentic & Tool Use Llama 4 Scout leads

Llama 3-70B: 20.9 (#132), Llama 4 Scout: 24.4 (#109)

BenchmarkLlama 3-70BLlama 4 Scout
Berkeley Function Calling Leaderboard—28.1%
Cybench5%—

Reasoning Llama 3-70B leads

Llama 3-70B: 17.4 (#284), Llama 4 Scout: 9.2 (#339)

BenchmarkLlama 3-70BLlama 4 Scout
Kagi LLM Benchmark35.1%36.9%
LMArena Hard Prompts11951266
DTBench54.2%57.9%
Epoch Capabilities Index122.91129.64
ForecastBench57.157.5
ARC-AGI-2—0%
ARC-AGI-1—0.5%
CritPt—0%
LMCA—12%
WinoGrande83.5%—

Math Llama 4 Scout leads

Llama 3-70B: 12.0 (#299), Llama 4 Scout: 18.4 (#280)

BenchmarkLlama 3-70BLlama 4 Scout
OTIS Mock AIME 2024-20254.3%7.8%
LMArena Math12181286
MATH Level 522.6%62.3%
Omni-MATH—37.3%
FrontierMath (Feb 2025 set)—0%

Knowledge Llama 4 Scout leads

Llama 3-70B: 20.8 (#272), Llama 4 Scout: 31.8 (#208)

BenchmarkLlama 3-70BLlama 4 Scout
GPQA Diamond40.6%51.8%
LMArena Expert11491236
MMLU-Pro—74.2%
Vectara Hallucination Rate—7.7%
GPQA (HELM)—50.7%
MMLU79.3%—

Multimodal Not comparable

Llama 3-70B: —, Llama 4 Scout: 31.6 (#98)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Vision—1118
SpatialViz-Bench—34.2%

Multilingual Llama 4 Scout leads

Llama 3-70B: 33.8 (#246), Llama 4 Scout: 41.3 (#207)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Non-English11421253
LMArena Chinese11141256
LMArena French12311283
LMArena German11691274
LMArena Japanese10171209
LMArena Korean10171207
LMArena Russian11591263
LMArena Spanish12411277

Instruction Following Llama 4 Scout leads

Llama 3-70B: 62.8 (#233), Llama 4 Scout: 66.0 (#212)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Instruction Following11941248
IFEval—81.8%

Long Context Llama 3-70B leads

Llama 3-70B: 35.6 (#235), Llama 4 Scout: 27.5 (#289)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Longer Query11741265
Fiction.LiveBench—36%

Writing & Preference Llama 3-70B leads

Llama 3-70B: 43.0 (#225), Llama 4 Scout: 37.1 (#256)

BenchmarkLlama 3-70BLlama 4 Scout
LMArena Text12211279
LMArena Creative Writing12101249
LMArena Multi-Turn12231281
EQ-Bench Creative Writing—783
WildBench—78%

Frequently asked questions

Is Llama 3-70B better than Llama 4 Scout?

Llama 3-70B is the stronger model overall, scoring 28.5 to 27.4 on the Noometry Index.

Is Llama 3-70B or Llama 4 Scout better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.3 versus 19.9 in the Noometry coding category.

How many benchmarks do Llama 3-70B and Llama 4 Scout share?

25 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Llama 4 Scout has 43.

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