Noometry

Model comparison

Claude Sonnet 4.6 vs Llama 4 Scout

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 27.4 on the Noometry Index. Llama 4 Scout costs 40× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.1

Rank #42 Confirmed

Llama 4 Scout Meta

27.4

Rank #323 Confirmed

Summary

  • They share 31 benchmarks with published results for both. Claude Sonnet 4.6 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 Claude Sonnet 4.6 leads 46.1 to 9.2.
  • The biggest single-benchmark swing is ARC-AGI-1: 86.5% for Claude Sonnet 4.6 and 0.5% 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 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 128K.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.6Llama 4 Scout
ProviderAnthropicMeta
Noometry Index50.127.4
Released2026-02-172025-04-05
WeightsProprietaryOpen
Context window1M128K
Max output128K4K
Input $ / M tokens$3$0.10
Output $ / M tokens$15$0.30
Results tracked5743

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Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.0 (#62), Llama 4 Scout: 19.9 (#334)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
SciCode46.8%17%
LMArena Coding15041286
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
SWE-bench Verified (bash only)—9.1%
LMArena WebDev1521—
WeirdML66.1%—
BigCodeBench Complete—43.1%
ALE-Bench1,327—

Agentic & Tool Use Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 39.1 (#26), Llama 4 Scout: 24.4 (#109)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
Terminal-Bench53.4%—
APEX-Agents43%—
Berkeley Function Calling Leaderboard—28.1%
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—
Vending-Bench 27,204—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#40), Llama 4 Scout: 9.2 (#339)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
ARC-AGI-260.4%0%
ARC-AGI-186.5%0.5%
CritPt3.1%0%
LMArena Hard Prompts14851266
DTBench89.9%57.9%
LMCA46.5%12%
Epoch Capabilities Index152.25129.64
ForecastBench6257.5
Kagi LLM Benchmark—36.9%
NYT Connections (extended)80.9%—
Chess Puzzles13%—
Thematic Generalization76.3%—
Mystery Game Puzzles16%—

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.9 (#41), Llama 4 Scout: 18.4 (#280)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
OTIS Mock AIME 2024-202585.8%7.8%
LMArena Math14631286
FrontierMath (Feb 2025 set)32.4%0%
ProofBench45%—
Omni-MATH—37.3%
MATH Level 5—62.3%
FrontierMath Tier 4 (v1)8.3%—

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.6 (#60), Llama 4 Scout: 31.8 (#208)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
GPQA Diamond87.4%51.8%
Vectara Hallucination Rate10.6%7.7%
LMArena Expert15001236
SimpleQA Verified35.5%—
MMLU-Pro—74.2%
GPQA (HELM)—50.7%

Multimodal Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 38.0 (#61), Llama 4 Scout: 31.6 (#98)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
LMArena Vision12831118
Blueprint-Bench 26.7%—
LMArena Document1482—
SpatialViz-Bench—34.2%

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.6 (#39), Llama 4 Scout: 41.3 (#207)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
LMArena Non-English14401253
LMArena Chinese14911256
LMArena French14651283
LMArena German14281274
LMArena Japanese14191209
LMArena Korean14111207
LMArena Russian14401263
LMArena Spanish14651277

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.6 (#23), Llama 4 Scout: 66.0 (#212)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
LMArena Instruction Following14761248
IFEval—81.8%

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#40), Llama 4 Scout: 27.5 (#289)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
LMArena Longer Query14791265
Fiction.LiveBench—36%

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.4 (#22), Llama 4 Scout: 37.1 (#256)

BenchmarkClaude Sonnet 4.6Llama 4 Scout
LMArena Text14581279
LMArena Creative Writing14351249
EQ-Bench Creative Writing1810783
LMArena Multi-Turn14641281
WildBench—78%
EQ-Bench 41207—

Frequently asked questions

Is Claude Sonnet 4.6 better than Llama 4 Scout?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 27.4 on the Noometry Index. Llama 4 Scout costs 40× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 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 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or Llama 4 Scout better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 19.9 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 128K.

How many benchmarks do Claude Sonnet 4.6 and Llama 4 Scout share?

31 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Llama 4 Scout has 43.

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