Noometry

Model comparison

Claude Sonnet 4.5 vs Llama 4 Scout

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 27.4 on the Noometry Index. Llama 4 Scout costs 40× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 39 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.0

Rank #76 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 39 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 10 categories and Llama 4 Scout in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.7 to 37.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 77.8% for Claude Sonnet 4.5 and 7.8% for Llama 4 Scout.
  • Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 1M tokens versus 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5Llama 4 Scout
ProviderAnthropicMeta
Noometry Index44.027.4
Released2025-09-292025-04-05
WeightsProprietaryOpen
Context window1M128K
Max output64K4K
Input $ / M tokens$3$0.10
Output $ / M tokens$15$0.30
Results tracked7343

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.8 (#54), Llama 4 Scout: 19.9 (#334)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
SWE-bench Verified (bash only)71.4%9.1%
SciCode44.7%17%
LMArena Coding14891286
SWE-bench Verified71.3%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
GSO14.7%—
WeirdML47.7%—
BigCodeBench Complete—43.1%
ALE-Bench796.15—
AlgoTune1.52—

Agentic & Tool Use Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 38.1 (#30), Llama 4 Scout: 24.4 (#109)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
Berkeley Function Calling Leaderboard73.2%28.1%
Terminal-Bench46.5%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#113), Llama 4 Scout: 9.2 (#339)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
ARC-AGI-213.6%0%
Kagi LLM Benchmark57.9%36.9%
ARC-AGI-163.7%0.5%
CritPt1.1%0%
LMArena Hard Prompts14621266
DTBench83.2%57.9%
LMCA38.8%12%
Epoch Capabilities Index146.84129.64
ForecastBench61.957.5
SimpleBench54.3%—
NYT Connections (extended)37.3%—
Chess Puzzles12%—
EnigmaEval6%—
EBR-Bench2.4%—
Mystery Game Puzzles17%—

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 31.9 (#190), Llama 4 Scout: 18.4 (#280)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
OTIS Mock AIME 2024-202577.8%7.8%
Omni-MATH55.3%37.3%
LMArena Math14481286
MATH Level 597.7%62.3%
FrontierMath (Feb 2025 set)15.2%0%
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
ProofBench19%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#70), Llama 4 Scout: 31.8 (#208)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
GPQA Diamond82.3%51.8%
MMLU-Pro86.9%74.2%
Vectara Hallucination Rate12%7.7%
GPQA (HELM)68.6%50.7%
LMArena Expert14831236
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—

Multimodal Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 34.1 (#84), Llama 4 Scout: 31.6 (#98)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
LMArena Vision—1118
VPCT39.8%—
LMArena Document1450—
SpatialViz-Bench—34.2%

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.6 (#65), Llama 4 Scout: 41.3 (#207)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
LMArena Non-English14251253
LMArena Chinese14591256
LMArena French14591283
LMArena German14271274
LMArena Japanese13901209
LMArena Korean14031207
LMArena Russian14361263
LMArena Spanish14571277

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.2 (#74), Llama 4 Scout: 66.0 (#212)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
IFEval85%81.8%
LMArena Instruction Following14591248

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#45), Llama 4 Scout: 27.5 (#289)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
LMArena Longer Query14761265
Fiction.LiveBench—36%

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.7 (#33), Llama 4 Scout: 37.1 (#256)

BenchmarkClaude Sonnet 4.5Llama 4 Scout
LMArena Text14391279
LMArena Creative Writing14421249
EQ-Bench Creative Writing1678783
WildBench85.4%78%
LMArena Multi-Turn14651281

Frequently asked questions

Is Claude Sonnet 4.5 better than Llama 4 Scout?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 27.4 on the Noometry Index. Llama 4 Scout costs 40× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.5 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; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Llama 4 Scout better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 19.9 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 1M tokens against 128K.

How many benchmarks do Claude Sonnet 4.5 and Llama 4 Scout share?

39 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama 4 Scout has 43.

Related comparisons

Go deeper