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Claude Opus 4.6 vs Llama 4 Scout

Claude Opus 4.6 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 31.9 to 6.5, and Llama 4 Scout costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace Llama 4 Scout
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
70
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 70 shared

Claude Opus 4.6 or Llama 4 Scout: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.

Pick Llama 4 Scout for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($1.276 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
70
Claude Opus 4.6 only
40
Llama 4 Scout only
12
Like-for-like categories
8 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 4.6 57.2 from 4 benchmarks, Llama 4 Scout not benchmarked.
Widest category
Agentic work, 76.6 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: Claude Opus 4.6 94.0% against Llama 4 Scout 0.5%, 93.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Llama 4 Scout $0.50 per million output tokens, 50.0x apart.
Context window
Claude Opus 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 Opus 4.6BarsLlama 4 ScoutTies
Coding50
Intelligence20
Agentic work10
Reasoning130
Math40
Knowledge110
Web design50
General290
All shared boards700
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
SWE-bench Verified75.6%9.1%Claude Opus 4.6
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)84.7%38.5%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
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)48.5%1.5%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: coding15341286Claude Opus 4.6
LMArena Text: software and IT15271286Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
AA Intelligence Index31.96.5Claude Opus 4.6
Epoch Capabilities Index155.7129.6Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%15.5%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
GPQA Diamond89.7%47.0%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%58.8%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)89.6%58.7%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%3.8%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%51.8%Claude Opus 4.6
ARC-AGI94.0%0.5%Claude Opus 4.6
ARC-AGI-269.2%0.0%Claude Opus 4.6
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251266Claude Opus 4.6
LMArena Text: expert15441235Claude Opus 4.6
LMArena Text: hard prompts in English15301293Claude Opus 4.6
LMArena Vision: diagrams13401125Claude Opus 4.6
LMArena Vision: homework13371148Claude Opus 4.6
Kagi LLM Benchmark83.6%36.9%Claude Opus 4.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
AIME95.6%19.0%Claude Opus 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 AIME94.4%7.8%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math15181287Claude Opus 4.6
LMArena Text: mathematical work15251286Claude Opus 4.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
MMLU Pro89.1%69.6%Claude Opus 4.6
LegalBench (Vals AI)85.3%72.0%Claude Opus 4.6
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%46.8%Claude Opus 4.6
TaxEval (Vals AI)76.0%55.2%Claude Opus 4.6
MortgageTax (Vals AI)68.5%57.8%Claude Opus 4.6
MedQA (Vals AI)95.4%50.9%Claude Opus 4.6
MedCode (Vals AI)49.1%23.3%Claude Opus 4.6
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191278Claude Opus 4.6
LMArena Text: medicine and healthcare15041275Claude Opus 4.6
LMArena Text: legal and government15121285Claude Opus 4.6
LMArena Text: business and finance14971257Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
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 Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
Design Arena: websites1291750Claude Opus 4.6
Design Arena: UI components1281765Claude Opus 4.6
Design Arena: game dev1277772Claude Opus 4.6
Design Arena: data viz1279896Claude Opus 4.6
Design Arena: 3D1273Not measuredOnly Claude Opus 4.6 measured
Design Arena: all code categories1288789Claude Opus 4.6
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 4.6Llama 4 ScoutLeader
SAGE (Vals AI)51.6%34.8%Claude Opus 4.6
MedScribe (Vals AI)86.7%50.6%Claude Opus 4.6
IFBench53.1%39.5%Claude Opus 4.6
Long context reasoning (AA-LCR)78.0%27.7%Claude Opus 4.6
DTBench91.2%57.9%Claude Opus 4.6
LMCA55.8%12.0%Claude Opus 4.6
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011279Claude Opus 4.6
LMArena Text: instruction following15211248Claude Opus 4.6
LMArena Text: creative writing15051249Claude Opus 4.6
LMArena Vision13161118Claude Opus 4.6
LMArena Text: English15111304Claude Opus 4.6
LMArena Text: non-English14881252Claude Opus 4.6
LMArena Text: Chinese15511255Claude Opus 4.6
LMArena Text: German15001273Claude Opus 4.6
LMArena Text: Japanese14881206Claude Opus 4.6
LMArena Text: Korean14641207Claude Opus 4.6
LMArena Text: French15121283Claude Opus 4.6
LMArena Text: Spanish15101278Claude Opus 4.6
LMArena Text: Russian14971263Claude Opus 4.6
LMArena Text: Polish14991265Claude Opus 4.6
LMArena Text: multi-turn15111280Claude Opus 4.6
LMArena Text: longer queries15181265Claude Opus 4.6
LMArena Text: writing and language15021269Claude Opus 4.6
LMArena Text: entertainment and media14921242Claude Opus 4.6
LMArena Vision: English13241143Claude Opus 4.6
LMArena Vision: Chinese13701106Claude Opus 4.6
LMArena Vision: reading text13261117Claude Opus 4.6
LMArena Vision: humor13141102Claude Opus 4.6
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311126Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and Llama 4 Scout
BenchmarkClaude Opus 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 Opus 4.6$0.018Fits 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 4.6$0.325Fits 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 4.6$1.25Fits in one request
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 4.6 and Llama 4 Scout
SpecificationAnthropic Claude Opus 4.6Meta Llama 4 Scout
MakerAnthropicMeta Llama
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026April 5, 2025
Context window1M1.31M
Input $/Mtok$5.00$0.175
Output $/Mtok$25.00$0.50
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56$1.276
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($1.276 against $1.56).

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

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and Llama 4 Scout $1.276.

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

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

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

70 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks 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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