Model comparison

Claude Opus 4.5 vs Llama 4 Scout

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.4 on the Noometry Index. Llama 4 Scout costs 67× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

Claude Opus 4.5 Anthropic

50.5

Rank #39 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 31 benchmarks with published results for both. Claude Opus 4.5 scores higher in 9 categories and Llama 4 Scout in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Claude Opus 4.5 leads 55.4 to 19.9.
  • The biggest single-benchmark swing is ARC-AGI-1: 80% for Claude Opus 4.5 and 0.5% for Llama 4 Scout.
  • Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
  • Claude Opus 4.5 accepts more context: 200K tokens versus 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.5 and Llama 4 Scout specifications
Claude Opus 4.5Llama 4 Scout
ProviderAnthropicMeta
Noometry Index50.527.4
Released2025-11-012025-04-05
WeightsProprietaryOpen
Context window200K128K
Max output64K4K
Input $ / M tokens$5$0.10
Output $ / M tokens$25$0.30
Results tracked6943

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Category by category

Coding Claude Opus 4.5 leads

Claude Opus 4.5: 55.4 (#21), Llama 4 Scout: 19.9 (#334)

Coding benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
SWE-bench Verified (bash only)76.8%9.1%
LMArena Coding15041286
SWE-bench Verified76.7%—
LMArena WebDev1493—
SWE-bench Multilingual70.7%—
SciCode—17%
GSO26.5%—
WeirdML63.7%—
BigCodeBench Complete—43.1%
ALE-Bench1,025—
AlgoTune1.77—

Agentic & Tool Use Claude Opus 4.5 leads

Claude Opus 4.5: 47.2 (#11), Llama 4 Scout: 24.4 (#109)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
Berkeley Function Calling Leaderboard77.5%28.1%
Terminal-Bench63.1%—
GDPval45.5%—
Remote Labor Index3.8%—
τ²-bench Airline84%—
τ²-bench Banking24.7%—
τ²-bench Retail79.6%—
τ²-bench Telecom92.3%—
Cybench82%—
DeepResearch Bench54.8%—
OSWorld66.3%—
BALROG43.5%—
LMArena Search1180—
METR Time Horizons75%—
Vending-Bench 24,967—

Reasoning Claude Opus 4.5 leads

Claude Opus 4.5: 42.5 (#43), Llama 4 Scout: 9.2 (#339)

Reasoning benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
ARC-AGI-237.6%0%
Kagi LLM Benchmark80.2%36.9%
ARC-AGI-180%0.5%
LMArena Hard Prompts14761266
DTBench89.9%57.9%
LMCA44.5%12%
Epoch Capabilities Index150.1129.64
ForecastBench60.757.5
SimpleBench62%—
NYT Connections (extended)52.5%—
CritPt—0%
Chess Puzzles12%—
EnigmaEval11.9%—
EBR-Bench14.3%—
Mystery Game Puzzles22%—

Math Claude Opus 4.5 leads

Claude Opus 4.5: 38.5 (#85), Llama 4 Scout: 18.4 (#280)

Math benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
OTIS Mock AIME 2024-202586.1%7.8%
LMArena Math14631286
FrontierMath (Feb 2025 set)20.7%0%
FrontierMath (Tiers 1-3)34.4%—
FrontierMath Tier 44.9%—
ProofBench36%—
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Opus 4.5 leads

Claude Opus 4.5: 56.4 (#38), Llama 4 Scout: 31.8 (#208)

Knowledge benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
GPQA Diamond86%51.8%
Vectara Hallucination Rate10.9%7.7%
LMArena Expert14881236
Humanity's Last Exam25.2%—
SimpleQA Verified45.7%—
MMLU-Pro—74.2%
GPQA (HELM)—50.7%

Multimodal Too close to call

Claude Opus 4.5: 31.1 (#99), Llama 4 Scout: 31.6 (#98)

Multimodal benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
LMArena Vision—1118
GeoBench75%—
VPCT40%—
Furniture Assembly28.3%—
LMArena Document1462—
SpatialViz-Bench—34.2%

Multilingual Claude Opus 4.5 leads

Claude Opus 4.5: 54.5 (#45), Llama 4 Scout: 41.3 (#207)

Multilingual benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
LMArena Non-English14381253
LMArena Chinese14701256
LMArena French14711283
LMArena German14491274
LMArena Japanese14151209
LMArena Korean14241207
LMArena Russian14481263
LMArena Spanish14551277

Instruction Following Claude Opus 4.5 leads

Claude Opus 4.5: 77.7 (#20), Llama 4 Scout: 66.0 (#212)

Instruction Following benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
LMArena Instruction Following14781248
IFEval—81.8%

Long Context Claude Opus 4.5 leads

Claude Opus 4.5: 46.4 (#21), Llama 4 Scout: 27.5 (#289)

Long Context benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
LMArena Longer Query14801265
Fiction.LiveBench—36%
CL-bench21.1%—

Writing & Preference Claude Opus 4.5 leads

Claude Opus 4.5: 68.2 (#28), Llama 4 Scout: 37.1 (#256)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.5Llama 4 Scout
LMArena Text14511279
LMArena Creative Writing14451249
EQ-Bench Creative Writing1687783
LMArena Multi-Turn14661281
WildBench—78%

Frequently asked questions

Is Claude Opus 4.5 better than Llama 4 Scout?

Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 27.4 on the Noometry Index. Llama 4 Scout costs 67× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 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 Opus 4.5 lists at $5 and $25.

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

Claude Opus 4.5 scores higher on coding benchmarks: 55.4 versus 19.9 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.5 does, with 200K tokens against 128K.

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

31 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Llama 4 Scout has 43.

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