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Claude Opus 4.1 vs Llama 4 Scout

Claude Opus 4.1 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 22.8 to 6.5, and Llama 4 Scout costs 150.0x less per output token ($0.50 vs $75.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
52
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
1
vs boards won of 53 shared

Claude Opus 4.1 or Llama 4 Scout: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by SAGE (Vals AI), where it leads.

Shared results
53
Claude Opus 4.1 only
20
Llama 4 Scout only
29
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.1 not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Web design, 46.8 points apart on average over 5 shared benchmarks.
Widest single gap
OTIS Mock AIME: Claude Opus 4.1 68.9% against Llama 4 Scout 7.8%, 61.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Llama 4 Scout $0.50 per million output tokens, 150.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Llama 4 Scout 1.31M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.1BarsLlama 4 ScoutTies
Coding30
Intelligence20
Reasoning60
Math60
Knowledge100
Web design50
General201
All shared boards521
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)66.5%38.5%Claude Opus 4.1
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)Not measured1.5%Only Llama 4 Scout measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791286Claude Opus 4.1
LMArena Text: software and IT14561286Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
AA Intelligence Index22.86.5Claude Opus 4.1
Epoch Capabilities Index144.1129.6Claude Opus 4.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench TelecomNot measured15.5%Only Llama 4 Scout measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
GPQA Diamond76.3%47.0%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%58.8%Claude Opus 4.1
GPQA Diamond (Artificial Analysis run)Not measured58.7%Only Llama 4 Scout measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only Llama 4 Scout measured
GPQA Diamond (Epoch AI run)77.3%51.8%Claude Opus 4.1
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421266Claude Opus 4.1
LMArena Text: expert14381235Claude Opus 4.1
LMArena Text: hard prompts in English14511293Claude Opus 4.1
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM BenchmarkNot measured36.9%Only Llama 4 Scout measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
AIME78.2%19.0%Claude Opus 4.1
MATH 500 (Vals AI)95.4%79.2%Claude Opus 4.1
MGSM (Vals AI)94.4%88.0%Claude Opus 4.1
AA Math IndexNot measured14.0Only Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)Not measured14.0%Only Llama 4 Scout measured
OTIS Mock AIME68.9%7.8%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14311287Claude Opus 4.1
LMArena Text: mathematical work14341286Claude Opus 4.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
MMLU Pro87.9%69.6%Claude Opus 4.1
LegalBench (Vals AI)83.5%72.0%Claude Opus 4.1
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)73.7%55.2%Claude Opus 4.1
MortgageTax (Vals AI)61.1%57.8%Claude Opus 4.1
MedQA (Vals AI)93.6%50.9%Claude Opus 4.1
MedCode (Vals AI)47.2%23.3%Claude Opus 4.1
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
LMArena Text: science14221278Claude Opus 4.1
LMArena Text: medicine and healthcare14161275Claude Opus 4.1
LMArena Text: legal and government14211285Claude Opus 4.1
LMArena Text: business and finance14061257Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
Design Arena: websites1176750Claude Opus 4.1
Design Arena: UI components1162765Claude Opus 4.1
Design Arena: game dev1171772Claude Opus 4.1
Design Arena: data viz1166896Claude Opus 4.1
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170789Claude Opus 4.1
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
General benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
SAGE (Vals AI)31.4%34.8%Llama 4 Scout
MedScribe (Vals AI)73.9%50.6%Claude Opus 4.1
IFBenchNot measured39.5%Only Llama 4 Scout measured
Long context reasoning (AA-LCR)Not measured27.7%Only Llama 4 Scout measured
DTBench80.0%57.9%Claude Opus 4.1
LMCA37.1%12.0%Claude Opus 4.1
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191279Claude Opus 4.1
LMArena Text: instruction following14351248Claude Opus 4.1
LMArena Text: creative writing14121249Claude Opus 4.1
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English14331304Claude Opus 4.1
LMArena Text: non-English14051252Claude Opus 4.1
LMArena Text: Chinese14271255Claude Opus 4.1
LMArena Text: German14131273Claude Opus 4.1
LMArena Text: Japanese13771206Claude Opus 4.1
LMArena Text: Korean13811207Claude Opus 4.1
LMArena Text: French14331283Claude Opus 4.1
LMArena Text: Spanish14481278Claude Opus 4.1
LMArena Text: Russian14221263Claude Opus 4.1
LMArena Text: Polish14131265Claude Opus 4.1
LMArena Text: multi-turn14441280Claude Opus 4.1
LMArena Text: longer queries14551265Claude Opus 4.1
LMArena Text: writing and language14181269Claude Opus 4.1
LMArena Text: entertainment and media13981242Claude Opus 4.1
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Llama 4 Scout
BenchmarkClaude Opus 4.1Llama 4 ScoutLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.1$0.052Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Llama 4 Scout$0.040Fits in one request

Llama 4 Scout costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.1 and Llama 4 Scout
SpecificationAnthropic Claude Opus 4.1Meta Llama 4 Scout
MakerAnthropicMeta Llama
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025April 5, 2025
Context window200K1.31M
Input $/Mtok$15.00$0.175
Output $/Mtok$75.00$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by SAGE (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.1 or Llama 4 Scout?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Claude Opus 4.1 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Llama 4 Scout comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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