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Claude Sonnet 4.6 vs Llama 4 Scout

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.6Anthropic
Coding
57.8
Overall
30.1
Output $/M
$15.00
69
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
0
vs boards won of 69 shared

Decision reading

Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout.

Pick Llama 4 Scout when output tokens cost 50.0x less, or when a solved task costs $1.276 against $1.68.

Shared results
69
Claude Sonnet 4.6 only
48
Llama 4 Scout only
11
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Sonnet 4.6 57.8 from 2 benchmarks, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Web design, 59.8 points apart on average over 5 shared benchmarks.
Widest single gap
ARC-AGI: Claude Sonnet 4.6 86.5% against Llama 4 Scout 0.5%, 86.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Llama 4 Scout $0.30 per million output tokens, 50.0x apart.
Context window
Claude Sonnet 4.6 takes 1M 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 Sonnet 4.6BarsLlama 4 ScoutTies
Coding60
Intelligence20
Agentic work20
Reasoning120
Math40
Knowledge100
Web design50
General280
All shared boards690
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.08.2Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%38.5%Claude Sonnet 4.6
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCode50.1%21.3%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%1.5%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031286Claude Sonnet 4.6
LMArena Text: software and IT14911286Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
AA Intelligence Index30.16.5Claude Sonnet 4.6
Epoch Capabilities Index152.8129.6Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
AA Agentic Index31.80.5Claude Sonnet 4.6
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1202Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%15.5%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
GPQA Diamond85.6%47.0%Claude Sonnet 4.6
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%58.8%Claude Sonnet 4.6
GPQA Diamond (Artificial Analysis run)87.5%58.7%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%3.8%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%51.8%Claude Sonnet 4.6
ARC-AGI86.5%0.5%Claude Sonnet 4.6
ARC-AGI-260.4%0.0%Claude Sonnet 4.6
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851266Claude Sonnet 4.6
LMArena Text: expert15001235Claude Sonnet 4.6
LMArena Text: hard prompts in English14931293Claude Sonnet 4.6
LMArena Vision: diagrams13061125Claude Sonnet 4.6
LMArena Vision: homework13111148Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
AIME92.3%19.0%Claude Sonnet 4.6
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math IndexNot measured14.0Only Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)Not measured14.0%Only Llama 4 Scout measured
OTIS Mock AIME85.8%7.8%Claude Sonnet 4.6
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14621287Claude Sonnet 4.6
LMArena Text: mathematical work14831286Claude Sonnet 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
MMLU Pro87.3%69.6%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%72.0%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%46.8%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%55.2%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%57.8%Claude Sonnet 4.6
MedQA (Vals AI)92.1%50.9%Claude Sonnet 4.6
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741278Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511275Claude Sonnet 4.6
LMArena Text: legal and government14701285Claude Sonnet 4.6
LMArena Text: business and finance14641257Claude Sonnet 4.6
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
Design Arena: websites1285750Claude Sonnet 4.6
Design Arena: UI components1271767Claude Sonnet 4.6
Design Arena: game dev1259773Claude Sonnet 4.6
Design Arena: data viz1278896Claude Sonnet 4.6
Design Arena: 3D1234Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: all code categories1276790Claude Sonnet 4.6
Design Arena: SVG1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 4 ScoutLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%34.8%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%39.5%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%27.7%Claude Sonnet 4.6
DTBench89.9%57.9%Claude Sonnet 4.6
LMCA46.5%12.0%Claude Sonnet 4.6
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581279Claude Sonnet 4.6
LMArena Text: instruction following14761248Claude Sonnet 4.6
LMArena Text: creative writing14351249Claude Sonnet 4.6
LMArena Vision12831118Claude Sonnet 4.6
LMArena Text: English14721304Claude Sonnet 4.6
LMArena Text: non-English14401252Claude Sonnet 4.6
LMArena Text: Chinese14911255Claude Sonnet 4.6
LMArena Text: German14281273Claude Sonnet 4.6
LMArena Text: Japanese14201206Claude Sonnet 4.6
LMArena Text: Korean14101207Claude Sonnet 4.6
LMArena Text: French14651283Claude Sonnet 4.6
LMArena Text: Spanish14641278Claude Sonnet 4.6
LMArena Text: Russian14401263Claude Sonnet 4.6
LMArena Text: Polish14431265Claude Sonnet 4.6
LMArena Text: multi-turn14641280Claude Sonnet 4.6
LMArena Text: longer queries14791265Claude Sonnet 4.6
LMArena Text: writing and language14441269Claude Sonnet 4.6
LMArena Text: entertainment and media14311242Claude Sonnet 4.6
LMArena Vision: English12981143Claude Sonnet 4.6
LMArena Vision: Chinese13071106Claude Sonnet 4.6
LMArena Vision: reading text12961117Claude Sonnet 4.6
LMArena Vision: humor12481102Claude Sonnet 4.6
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721126Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and Llama 4 Scout
BenchmarkClaude Sonnet 4.6Llama 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 Sonnet 4.6$0.011Fits in one request
Llama 4 Scout$0.0003Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Llama 4 Scout$0.0059Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Llama 4 Scout$0.023Fits 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 Sonnet 4.6 and Llama 4 Scout
SpecificationAnthropic Claude Sonnet 4.6Meta Llama 4 Scout
MakerAnthropicMeta Llama
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026April 5, 2025
Context window1M1.31M
Input $/Mtok$3.00$0.10
Output $/Mtok$15.00$0.30
Coding index57.89.1
Independent measurements behind it21
Cost per solved task$1.68$1.276
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when output tokens cost 50.0x less, or when a solved task costs $1.276 against $1.68.

Which is cheaper, Claude Sonnet 4.6 or Llama 4 Scout?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Llama 4 Scout $1.276.

Which has the bigger context window, Claude Sonnet 4.6 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.6 vs Llama 4 Scout comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 2 independent benchmarks and Llama 4 Scout's on 1. Where only one model has a result, the page says so instead of naming a winner.

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