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Claude Opus 4.1 vs Claude Opus 4.6

Updated October 21, 2026. 66 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
0
Claude Opus 4.6Anthropic
Coding
66.9
Overall
31.9
Output $/M
$25.00
66
vs boards won of 66 shared

Decision reading

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
66
Claude Opus 4.1 only
5
Claude Opus 4.6 only
42
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 Opus 4.1 27.2 from 1 benchmark, Claude Opus 4.6 66.9 from 2 benchmarks.
Widest category
Coding, 26.7 points apart on average over 8 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Claude Opus 4.6 66.0%, 53.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Claude Opus 4.6 $25.00 per million output tokens, 3.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Claude Opus 4.6 1M.

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 4.1BarsClaude Opus 4.6Ties
Coding08
Intelligence02
Agentic work02
Reasoning09
Math06
Knowledge010
Web design08
General021
All shared boards066
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
Coding benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
SWE-bench VerifiedNot measured75.6%Only Claude Opus 4.6 measured
SWE-bench MultilingualNot measured72.0%Only Claude Opus 4.6 measured
LMArena WebDev13901547Claude Opus 4.6
LiveCodeBench (Vals AI)66.5%84.7%Claude Opus 4.6
SWE-bench Verified (Vals AI)Not measured78.2%Only Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)Not measured57.6%Only Claude Opus 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured48.5%Only Claude Opus 4.6 measured
Terminal-Bench38.0%79.8%Claude Opus 4.6
FrontierCodeNot measured26.6%Only Claude Opus 4.6 measured
GSO-BenchNot measured41.2%Only Claude Opus 4.6 measured
WeirdML45.9%78.0%Claude Opus 4.6
Cybench42.0%93.0%Claude Opus 4.6
LMArena Text: coding14791534Claude Opus 4.6
LMArena Text: software and IT14561527Claude Opus 4.6
LMArena WebDev: ReactNot measured1539Only Claude Opus 4.6 measured
LMArena WebDev: HTML13991559Claude Opus 4.6
LMArena WebDev: from an imageNot measured1543Only Claude Opus 4.6 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
AA Intelligence Index22.831.9Claude Opus 4.6
Epoch Capabilities Index144.1155.7Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
Design Arena: agents building web appsNot measured1206Only Claude Opus 4.6 measured
Design Arena: agents building full-stack appsNot measured1220Only Claude Opus 4.6 measured
Design Arena: agents building mobile appsNot measured1207Only Claude Opus 4.6 measured
Design Arena: agents building Android appsNot measured1204Only Claude Opus 4.6 measured
Design Arena: agents building gamesNot measured1214Only Claude Opus 4.6 measured
τ²-Bench TelecomNot measured92.1%Only Claude Opus 4.6 measured
APEX-AgentsNot measured46.3%Only Claude Opus 4.6 measured
METR time horizons66.8%78.9%Claude Opus 4.6
Remote Labor IndexNot measured4.2%Only Claude Opus 4.6 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%55.3%Claude Opus 4.6
Vending-Bench 2Not measured$8,018Only Claude Opus 4.6 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
GPQA Diamond76.3%89.7%Claude Opus 4.6
MMMU Pro (Vals AI)77.5%83.9%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)Not measured89.6%Only Claude Opus 4.6 measured
Humanity's Last Exam (Artificial Analysis run)Not measured39.9%Only Claude Opus 4.6 measured
GPQA Diamond (Epoch AI run)77.3%90.5%Claude Opus 4.6
ARC-AGINot measured94.0%Only Claude Opus 4.6 measured
ARC-AGI-2Not measured69.2%Only Claude Opus 4.6 measured
SimpleBench60.0%67.6%Claude Opus 4.6
Chess puzzlesNot measured21.0%Only Claude Opus 4.6 measured
Mystery game puzzles21.0%25.0%Claude Opus 4.6
EBR-bench7.9%12.7%Claude Opus 4.6
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421525Claude Opus 4.6
LMArena Text: expert14381544Claude Opus 4.6
LMArena Text: hard prompts in English14511530Claude Opus 4.6
LMArena Vision: diagramsNot measured1340Only Claude Opus 4.6 measured
LMArena Vision: homeworkNot measured1337Only Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
AIME78.2%95.6%Claude Opus 4.6
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%94.4%Claude Opus 4.6
FrontierMath, tiers 1 to 312.6%66.0%Claude Opus 4.6
FrontierMath, tier 42.4%26.8%Claude Opus 4.6
ProofBenchNot measured50.0%Only Claude Opus 4.6 measured
LMArena Text: math14311518Claude Opus 4.6
LMArena Text: mathematical work14341525Claude Opus 4.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
MMLU Pro87.9%89.1%Claude Opus 4.6
LegalBench (Vals AI)83.5%85.3%Claude Opus 4.6
CaseLaw (Vals AI)Not measured62.1%Only Claude Opus 4.6 measured
CorpFin (Vals AI)Not measured67.0%Only Claude Opus 4.6 measured
TaxEval (Vals AI)73.7%76.0%Claude Opus 4.6
MortgageTax (Vals AI)61.1%68.5%Claude Opus 4.6
MedQA (Vals AI)93.6%95.4%Claude Opus 4.6
MedCode (Vals AI)47.2%49.1%Claude Opus 4.6
SimpleQA VerifiedNot measured47.0%Only Claude Opus 4.6 measured
LMArena Text: science14221519Claude Opus 4.6
LMArena Text: medicine and healthcare14161504Claude Opus 4.6
LMArena Text: legal and government14211512Claude Opus 4.6
LMArena Text: business and finance14061497Claude Opus 4.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
Design Arena: websites11771291Claude Opus 4.6
Design Arena: UI components11641284Claude Opus 4.6
Design Arena: game dev11721278Claude Opus 4.6
Design Arena: data viz11661279Claude Opus 4.6
Design Arena: 3D11531274Claude Opus 4.6
Design Arena: all code categories11711289Claude Opus 4.6
Design Arena: SVG11521227Claude Opus 4.6
Design Arena: ASCII art11671254Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Claude Opus 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
SAGE (Vals AI)31.4%51.6%Claude Opus 4.6
MedScribe (Vals AI)73.9%86.7%Claude Opus 4.6
IFBenchNot measured53.1%Only Claude Opus 4.6 measured
Long context reasoning (AA-LCR)Not measured78.0%Only Claude Opus 4.6 measured
DTBench80.0%91.2%Claude Opus 4.6
LMCA37.1%55.8%Claude Opus 4.6
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
CL-benchNot measured20.7%Only Claude Opus 4.6 measured
Furniture assemblyNot measured28.3%Only Claude Opus 4.6 measured
CL-bench LifeNot measured17.0%Only Claude Opus 4.6 measured
LMArena Text14191501Claude Opus 4.6
LMArena Text: instruction following14351521Claude Opus 4.6
LMArena Text: creative writing14121505Claude Opus 4.6
LMArena VisionNot measured1316Only Claude Opus 4.6 measured
LMArena Text: English14331511Claude Opus 4.6
LMArena Text: non-English14051488Claude Opus 4.6
LMArena Text: Chinese14271551Claude Opus 4.6
LMArena Text: German14131500Claude Opus 4.6
LMArena Text: Japanese13771488Claude Opus 4.6
LMArena Text: Korean13811464Claude Opus 4.6
LMArena Text: French14331512Claude Opus 4.6
LMArena Text: Spanish14481510Claude Opus 4.6
LMArena Text: Russian14221497Claude Opus 4.6
LMArena Text: Polish14131499Claude Opus 4.6
LMArena Text: multi-turn14441511Claude Opus 4.6
LMArena Text: longer queries14551518Claude Opus 4.6
LMArena Text: writing and language14181502Claude Opus 4.6
LMArena Text: entertainment and media13981492Claude Opus 4.6
LMArena Vision: EnglishNot measured1324Only Claude Opus 4.6 measured
LMArena Vision: ChineseNot measured1370Only Claude Opus 4.6 measured
LMArena Vision: reading textNot measured1326Only Claude Opus 4.6 measured
LMArena Vision: humorNot measured1314Only Claude Opus 4.6 measured
LMArena Vision: recognizing thingsNot measured1274Only Claude Opus 4.6 measured
LMArena Vision: creative writingNot measured1331Only Claude Opus 4.6 measured
LMArena DocumentNot measured1507Only 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 4.1 and Claude Opus 4.6
BenchmarkClaude Opus 4.1Claude Opus 4.6Leader
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
Claude Opus 4.6$0.018Fits in one request

Claude Opus 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Claude Opus 4.6$0.325Fits in one request

Claude Opus 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Claude Opus 4.6$1.25Fits in one request

Claude Opus 4.6 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 Claude Opus 4.6
SpecificationAnthropic Claude Opus 4.1Anthropic Claude Opus 4.6
MakerAnthropicAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025February 4, 2026
Context window200K1M
Input $/Mtok$15.00$5.00
Output $/Mtok$75.00$25.00
Coding index27.266.9
Independent measurements behind it12
Cost per solved taskNot computable$1.56
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Claude Opus 4.6 for coding?

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Opus 4.1 or Claude Opus 4.6?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Claude Opus 4.6 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.1 or Claude Opus 4.6?

Claude Opus 4.6, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Claude Opus 4.6 comparison based on?

66 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Claude Opus 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

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