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Claude Opus 4.1 vs Claude Opus 4.7

Claude Opus 4.7 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 40.7 to 22.8, and Claude Opus 4.7 costs 3.0x less per output token ($25.00 vs $75.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Claude Opus 4.7
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
0
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
55
vs boards won of 55 shared

Claude Opus 4.1 or Claude Opus 4.7: which to pick

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved task
Shared results
55
Claude Opus 4.1 only
21
Claude Opus 4.7 only
54
Like-for-like categories
6 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, Claude Opus 4.7 67.5 from 4 benchmarks.
Widest category
Math, 26.3 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Claude Opus 4.7 70.2%, 57.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Claude Opus 4.7 $25.00 per million output tokens, 3.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Claude Opus 4.7 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 4.7Ties
Coding07
Intelligence02
Reasoning09
Math06
Knowledge010
General021
All shared boards055
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
LMArena WebDev13901558Claude Opus 4.7
AA Coding IndexNot measured73.6Only Claude Opus 4.7 measured
LiveCodeBench (Vals AI)66.5%85.1%Claude Opus 4.7
SWE-bench Verified (Vals AI)Not measured82.0%Only Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)Not measured71.0%Only Claude Opus 4.7 measured
Code migration (Vals AI)Not measured43.9%Only Claude Opus 4.7 measured
ProgramBench (Vals AI)Not measured0.0%Only Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured68.5%Only Claude Opus 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured54.5%Only Claude Opus 4.7 measured
Terminal-Bench38.0%80.2%Claude Opus 4.7
FrontierCodeNot measured38.5%Only Claude Opus 4.7 measured
GSO-BenchNot measured44.1%Only Claude Opus 4.7 measured
WeirdML45.9%76.4%Claude Opus 4.7
MirrorCodeNot measured31.1%Only Claude Opus 4.7 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791519Claude Opus 4.7
LMArena Text: software and IT14561516Claude Opus 4.7
LMArena WebDev: ReactNot measured1560Only Claude Opus 4.7 measured
LMArena WebDev: HTML13991554Claude Opus 4.7
LMArena WebDev: from an imageNot measured1577Only Claude Opus 4.7 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
SWE Atlas: Codebase QnANot measured40.3%Only Claude Opus 4.7 measured
SWE Atlas: RefactoringNot measured48.6%Only Claude Opus 4.7 measured
SWE Atlas: Test WritingNot measured38.5%Only Claude Opus 4.7 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
AA Intelligence Index22.840.7Claude Opus 4.7
Epoch Capabilities Index144.1156.8Claude Opus 4.7
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
AA Agentic IndexNot measured38.6Only Claude Opus 4.7 measured
Finance Agent (Vals AI)Not measured51.5%Only Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)Not measured23.7%Only Claude Opus 4.7 measured
Legal Research Bench (Vals AI)Not measured38.5%Only Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)Not measured63.7%Only Claude Opus 4.7 measured
τ²-Bench TelecomNot measured88.6%Only Claude Opus 4.7 measured
APEX-AgentsNot measured49.2%Only Claude Opus 4.7 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
OSWorld 2.0Not measured18.2%Only Claude Opus 4.7 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
PostTrainBenchNot measured28.6%Only Claude Opus 4.7 measured
Vending-Bench 2Not measured$10,937Only Claude Opus 4.7 measured
LMArena SearchNot measured1230Only Claude Opus 4.7 measured
MCP AtlasNot measured79.1%Only Claude Opus 4.7 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 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
GPQA Diamond76.3%90.2%Claude Opus 4.7
MMMU Pro (Vals AI)77.5%85.5%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)Not measured91.4%Only Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.3%Only Claude Opus 4.7 measured
GPQA Diamond (Epoch AI run)77.3%90.2%Claude Opus 4.7
ARC-AGINot measured93.5%Only Claude Opus 4.7 measured
ARC-AGI-2Not measured75.8%Only Claude Opus 4.7 measured
SimpleBench60.0%61.7%Claude Opus 4.7
Chess puzzlesNot measured41.0%Only Claude Opus 4.7 measured
Mystery game puzzles21.0%28.0%Claude Opus 4.7
EBR-bench7.9%19.0%Claude Opus 4.7
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421506Claude Opus 4.7
LMArena Text: expert14381521Claude Opus 4.7
LMArena Text: hard prompts in English14511508Claude Opus 4.7
LMArena Vision: diagramsNot measured1336Only Claude Opus 4.7 measured
LMArena Vision: homeworkNot measured1337Only Claude Opus 4.7 measured
Kagi LLM BenchmarkNot measured80.7%Only Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
AIME78.2%96.3%Claude Opus 4.7
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%97.8%Claude Opus 4.7
FrontierMath, tiers 1 to 312.6%70.2%Claude Opus 4.7
FrontierMath, tier 42.4%31.7%Claude Opus 4.7
ProofBenchNot measured54.0%Only Claude Opus 4.7 measured
LMArena Text: math14311498Claude Opus 4.7
LMArena Text: mathematical work14341509Claude Opus 4.7
MathArenaNot measured20.4%Only Claude Opus 4.7 measured
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 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
MMLU Pro87.9%89.9%Claude Opus 4.7
LegalBench (Vals AI)83.5%85.3%Claude Opus 4.7
CaseLaw (Vals AI)Not measured68.4%Only Claude Opus 4.7 measured
CorpFin (Vals AI)Not measured66.1%Only Claude Opus 4.7 measured
TaxEval (Vals AI)73.7%75.3%Claude Opus 4.7
MortgageTax (Vals AI)61.1%70.3%Claude Opus 4.7
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%54.9%Claude Opus 4.7
SimpleQA VerifiedNot measured51.7%Only Claude Opus 4.7 measured
LMArena Text: science14221508Claude Opus 4.7
LMArena Text: medicine and healthcare14161495Claude Opus 4.7
LMArena Text: legal and government14211504Claude Opus 4.7
LMArena Text: business and finance14061490Claude Opus 4.7
FACTS Benchmark Suite40.4%45.5%Claude Opus 4.7
PRBench Finance35.2%Not measuredOnly Claude Opus 4.1 measured
PRBench Legal34.0%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
Design Arena: websites1176Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1162Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1170Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1151Not 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 index021
General benchmarks for Claude Opus 4.1 and Claude Opus 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
SAGE (Vals AI)31.4%56.1%Claude Opus 4.7
MedScribe (Vals AI)73.9%83.0%Claude Opus 4.7
Vals Multimodal IndexNot measured67.4%Only Claude Opus 4.7 measured
IFBenchNot measured58.6%Only Claude Opus 4.7 measured
Long context reasoning (AA-LCR)Not measured78.7%Only Claude Opus 4.7 measured
DTBench80.0%94.7%Claude Opus 4.7
LMCA37.1%52.2%Claude Opus 4.7
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Furniture assemblyNot measured33.3%Only Claude Opus 4.7 measured
ExploitBenchNot measured26.5%Only Claude Opus 4.7 measured
LMArena Text14191490Claude Opus 4.7
LMArena Text: instruction following14351498Claude Opus 4.7
LMArena Text: creative writing14121486Claude Opus 4.7
LMArena VisionNot measured1317Only Claude Opus 4.7 measured
LMArena Text: English14331496Claude Opus 4.7
LMArena Text: non-English14051480Claude Opus 4.7
LMArena Text: Chinese14271531Claude Opus 4.7
LMArena Text: German14131495Claude Opus 4.7
LMArena Text: Japanese13771474Claude Opus 4.7
LMArena Text: Korean13811464Claude Opus 4.7
LMArena Text: French14331503Claude Opus 4.7
LMArena Text: Spanish14481494Claude Opus 4.7
LMArena Text: Russian14221494Claude Opus 4.7
LMArena Text: Polish14131489Claude Opus 4.7
LMArena Text: multi-turn14441505Claude Opus 4.7
LMArena Text: longer queries14551505Claude Opus 4.7
LMArena Text: writing and language14181492Claude Opus 4.7
LMArena Text: entertainment and media13981474Claude Opus 4.7
LMArena Vision: EnglishNot measured1322Only Claude Opus 4.7 measured
LMArena Vision: ChineseNot measured1371Only Claude Opus 4.7 measured
LMArena Vision: reading textNot measured1327Only Claude Opus 4.7 measured
LMArena Vision: humorNot measured1309Only Claude Opus 4.7 measured
LMArena Vision: recognizing thingsNot measured1278Only Claude Opus 4.7 measured
LMArena Vision: creative writingNot measured1326Only Claude Opus 4.7 measured
LMArena DocumentNot measured1495Only Claude Opus 4.7 measured
MultiChallenge57.2%Not measuredOnly Claude Opus 4.1 measured
EQ-Bench 4Not measured1311Only Claude Opus 4.7 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 4.7
BenchmarkClaude Opus 4.1Claude Opus 4.7Leader
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 4.7$0.018Fits in one request

Claude Opus 4.7 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Claude Opus 4.7$0.325Fits in one request

Claude Opus 4.7 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Claude Opus 4.7$1.25Fits in one request

Claude Opus 4.7 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 4.7
SpecificationAnthropic Claude Opus 4.1Anthropic Claude Opus 4.7
MakerAnthropicAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025April 16, 2026
Context window200K1M
Input $/Mtok$15.00$5.00
Output $/Mtok$75.00$25.00
Coding indexNot benchmarked67.5
Independent measurements behind it14
Cost per solved taskNot computable$2.95
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Claude Opus 4.7 for coding?

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Opus 4.1 or Claude Opus 4.7?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Claude Opus 4.7 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.1 or Claude Opus 4.7?

Claude Opus 4.7, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Claude Opus 4.7 comparison based on?

55 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 Claude Opus 4.7's on 4. Where only one model has a result, the page says so instead of naming a winner.

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