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Claude Sonnet 4.6 vs Llama 4 Maverick

Claude Sonnet 4.6 leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 30.1 to 9.3, and Llama 4 Maverick costs 15.0x less per output token ($1.00 vs $15.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
69
Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
0
vs boards won of 69 shared

Claude Sonnet 4.6 or Llama 4 Maverick: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.

Pick Llama 4 Maverick for output tokens 15.0x cheaper ($1.00 vs $15.00 per million) and a lower cost per solved task ($1.491 against $1.68).

Shared results
69
Claude Sonnet 4.6 only
49
Llama 4 Maverick only
16
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 Sonnet 4.6 57.3 from 5 benchmarks, Llama 4 Maverick not benchmarked.
Widest category
Web design, 48.6 points apart on average over 6 shared benchmarks.
Widest single gap
ARC-AGI: Claude Sonnet 4.6 86.5% against Llama 4 Maverick 4.4%, 82.1 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Llama 4 Maverick $1.00 per million output tokens, 15.0x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, Llama 4 Maverick 524K.

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 MaverickTies
Coding70
Intelligence20
Agentic work20
Reasoning110
Math30
Knowledge100
Web design60
General280
All shared boards690
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
Aider polyglotNot measured15.6%Only Llama 4 Maverick measured
SWE-bench VerifiedNot measured21.0%Only Llama 4 Maverick measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.016.3Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%47.3%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 measured39.7%Only Llama 4 Maverick measured
SciCode50.1%31.7%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%6.8%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%24.5%Claude Sonnet 4.6
ALE-BenchNot measured173.0Only Llama 4 Maverick measured
LMArena Text: coding15031301Claude Sonnet 4.6
LMArena Text: software and IT14911299Claude 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 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
AA Intelligence Index30.19.3Claude Sonnet 4.6
Epoch Capabilities Index152.8132.2Claude 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 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
AA Agentic Index31.80.6Claude 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 apps1197Not 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%17.8%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 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
GPQA Diamond85.6%69.4%Claude Sonnet 4.6
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%71.7%Claude Sonnet 4.6
GPQA Diamond (Artificial Analysis run)87.5%67.1%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%4.9%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%4.4%Claude Sonnet 4.6
ARC-AGI-260.4%0.0%Claude Sonnet 4.6
SimpleBenchNot measured27.7%Only Llama 4 Maverick measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851281Claude Sonnet 4.6
LMArena Text: expert15001259Claude Sonnet 4.6
LMArena Text: hard prompts in English14931295Claude Sonnet 4.6
LMArena Vision: diagrams13061134Claude Sonnet 4.6
LMArena Vision: homework13111164Claude Sonnet 4.6
Kagi LLM BenchmarkNot measured55.9%Only Llama 4 Maverick measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
AIME92.3%25.2%Claude Sonnet 4.6
MATH 500 (Vals AI)Not measured85.2%Only Llama 4 Maverick measured
MGSM (Vals AI)Not measured92.4%Only Llama 4 Maverick measured
AA Math IndexNot measured19.3Only Llama 4 Maverick measured
AIME 2025 (Artificial Analysis run)Not measured19.3%Only Llama 4 Maverick measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621299Claude Sonnet 4.6
LMArena Text: mathematical work14831295Claude Sonnet 4.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
MMLU Pro87.3%79.4%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%77.8%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%49.7%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%66.6%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%58.5%Claude Sonnet 4.6
MedQA (Vals AI)92.1%43.3%Claude Sonnet 4.6
MedCode (Vals AI)Not measured36.5%Only Llama 4 Maverick measured
MMLU Pro (Artificial Analysis run)Not measured80.9%Only Llama 4 Maverick measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
GeoBenchNot measured52.0%Only Llama 4 Maverick measured
LMArena Text: science14741288Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511275Claude Sonnet 4.6
LMArena Text: legal and government14701286Claude Sonnet 4.6
LMArena Text: business and finance14641260Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Sonnet 4.6 and Llama 4 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
Design Arena: websites1284871Claude Sonnet 4.6
Design Arena: UI components1269896Claude Sonnet 4.6
Design Arena: game dev1258837Claude Sonnet 4.6
Design Arena: data viz1278882Claude Sonnet 4.6
Design Arena: 3D1234900Claude Sonnet 4.6
Design Arena: all code categories1275879Claude 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 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
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%35.7%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured54.2%Only Llama 4 Maverick measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%43.0%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%50.0%Claude Sonnet 4.6
DTBench89.9%61.9%Claude Sonnet 4.6
LMCA46.5%15.9%Claude Sonnet 4.6
Fiction.LiveBenchNot measured46.2%Only Llama 4 Maverick measured
Creative writing (Lech Mazur)Not measured62.0%Only Llama 4 Maverick measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581287Claude Sonnet 4.6
LMArena Text: instruction following14761267Claude Sonnet 4.6
LMArena Text: creative writing14351266Claude Sonnet 4.6
LMArena Vision12831142Claude Sonnet 4.6
LMArena Text: English14721303Claude Sonnet 4.6
LMArena Text: non-English14401269Claude Sonnet 4.6
LMArena Text: Chinese14911277Claude Sonnet 4.6
LMArena Text: German14281291Claude Sonnet 4.6
LMArena Text: Japanese14201206Claude Sonnet 4.6
LMArena Text: Korean14101203Claude Sonnet 4.6
LMArena Text: French14651259Claude Sonnet 4.6
LMArena Text: Spanish14641293Claude Sonnet 4.6
LMArena Text: Russian14401286Claude Sonnet 4.6
LMArena Text: Polish14431275Claude Sonnet 4.6
LMArena Text: multi-turn14641289Claude Sonnet 4.6
LMArena Text: longer queries14791280Claude Sonnet 4.6
LMArena Text: writing and language14441277Claude Sonnet 4.6
LMArena Text: entertainment and media14311250Claude Sonnet 4.6
LMArena Vision: English12981150Claude Sonnet 4.6
LMArena Vision: Chinese13071141Claude Sonnet 4.6
LMArena Vision: reading text12961143Claude Sonnet 4.6
LMArena Vision: humor12481100Claude Sonnet 4.6
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721099Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 9 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 Maverick
BenchmarkClaude Sonnet 4.6Llama 4 MaverickLeader
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 Maverick$0.0008Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
Llama 4 Maverick$0.021Fits in one request

Llama 4 Maverick costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
Llama 4 Maverick$0.080Fits in one request

Llama 4 Maverick 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 Maverick
SpecificationAnthropic Claude Sonnet 4.6Meta Llama 4 Maverick
MakerAnthropicMeta Llama
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026April 5, 2025
Context window1M524K
Input $/Mtok$3.00$0.35
Output $/Mtok$15.00$1.00
Coding index57.3Not benchmarked
Independent measurements behind it50
Cost per solved task$1.68$1.491
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 15.0x cheaper ($1.00 vs $15.00 per million) and a lower cost per solved task ($1.491 against $1.68).

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

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Llama 4 Maverick $1.491.

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

Claude Sonnet 4.6, with 1M tokens against 524K.

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

69 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.

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