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Claude Opus 4.1 vs Claude Opus 4.5

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 Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
1
Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
68
vs boards won of 69 shared

Decision reading

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Pick Claude Opus 4.1 when the benchmark that matters is MMLU Pro, where it leads.

Shared results
69
Claude Opus 4.1 only
2
Claude Opus 4.5 only
36
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 4.5 66.8 from 2 benchmarks.
Widest category
Coding, 17.8 points apart on average over 8 shared benchmarks.
Widest single gap
Cybench: Claude Opus 4.1 42.0% against Claude Opus 4.5 82.0%, 40.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Claude Opus 4.5 $25.00 per million output tokens, 3.0x apart.
Context window
Both take 200K tokens.

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 4.5Ties
Coding08
Intelligence02
Agentic work03
Reasoning010
Math07
Knowledge19
Web design08
General021
All shared boards168
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
Coding benchmarks for Claude Opus 4.1 and Claude Opus 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
SWE-bench VerifiedNot measured79.2%Only Claude Opus 4.5 measured
SWE-bench (full test set)Not measured52.6%Only Claude Opus 4.5 measured
SWE-bench MultilingualNot measured70.7%Only Claude Opus 4.5 measured
LMArena WebDev13901494Claude Opus 4.5
LiveCodeBench (Vals AI)66.5%83.7%Claude Opus 4.5
SWE-bench Verified (Vals AI)Not measured76.4%Only Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)Not measured20.6%Only Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured87.1%Only Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Claude Opus 4.5 measured
Terminal-Bench38.0%63.1%Claude Opus 4.5
GSO-BenchNot measured26.5%Only Claude Opus 4.5 measured
WeirdML45.9%63.7%Claude Opus 4.5
Cybench42.0%82.0%Claude Opus 4.5
LMArena Text: coding14791503Claude Opus 4.5
LMArena Text: software and IT14561483Claude Opus 4.5
LMArena WebDev: ReactNot measured1478Only Claude Opus 4.5 measured
LMArena WebDev: HTML13991510Claude Opus 4.5
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 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
AA Intelligence Index22.829.1Claude Opus 4.5
Epoch Capabilities Index144.1150.1Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for Claude Opus 4.1 and Claude Opus 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
Design Arena: agents building web appsNot measured1159Only Claude Opus 4.5 measured
Design Arena: agents building full-stack appsNot measured1156Only Claude Opus 4.5 measured
Design Arena: agents building mobile appsNot measured1189Only Claude Opus 4.5 measured
Design Arena: agents building Android appsNot measured1181Only Claude Opus 4.5 measured
τ²-Bench TelecomNot measured89.5%Only Claude Opus 4.5 measured
METR time horizons66.8%75.0%Claude Opus 4.5
Remote Labor IndexNot measured3.8%Only Claude Opus 4.5 measured
GDPval43.6%45.5%Claude Opus 4.5
BALROGNot measured43.5%Only Claude Opus 4.5 measured
DeepResearch Bench48.3%54.8%Claude Opus 4.5
OSWorldNot measured66.3%Only Claude Opus 4.5 measured
Vending-Bench 2Not measured$4,967Only Claude Opus 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for Claude Opus 4.1 and Claude Opus 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
GPQA Diamond76.3%85.9%Claude Opus 4.5
MMMU Pro (Vals AI)77.5%83.0%Claude Opus 4.5
GPQA Diamond (Artificial Analysis run)Not measured86.6%Only Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured30.1%Only Claude Opus 4.5 measured
GPQA Diamond (Epoch AI run)77.3%86.0%Claude Opus 4.5
ARC-AGINot measured80.0%Only Claude Opus 4.5 measured
ARC-AGI-2Not measured37.6%Only Claude Opus 4.5 measured
SimpleBench60.0%62.0%Claude Opus 4.5
Chess puzzlesNot measured14.0%Only Claude Opus 4.5 measured
Mystery game puzzles21.0%22.0%Claude Opus 4.5
EBR-bench7.9%14.3%Claude Opus 4.5
VPCT35.0%40.0%Claude Opus 4.5
LMArena Text: hard prompts14421476Claude Opus 4.5
LMArena Text: expert14381487Claude Opus 4.5
LMArena Text: hard prompts in English14511482Claude Opus 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for Claude Opus 4.1 and Claude Opus 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
AIME78.2%95.4%Claude Opus 4.5
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%95.2%Claude Opus 4.5
AA Math IndexNot measured91.3Only Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)Not measured91.3%Only Claude Opus 4.5 measured
OTIS Mock AIME68.9%86.1%Claude Opus 4.5
FrontierMath, tiers 1 to 312.6%34.4%Claude Opus 4.5
FrontierMath, tier 42.4%4.9%Claude Opus 4.5
ProofBenchNot measured36.0%Only Claude Opus 4.5 measured
LMArena Text: math14311463Claude Opus 4.5
LMArena Text: mathematical work14341468Claude Opus 4.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for Claude Opus 4.1 and Claude Opus 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
MMLU Pro87.9%87.3%Claude Opus 4.1
LegalBench (Vals AI)83.5%84.6%Claude Opus 4.5
CaseLaw (Vals AI)Not measured62.6%Only Claude Opus 4.5 measured
CorpFin (Vals AI)Not measured65.1%Only Claude Opus 4.5 measured
TaxEval (Vals AI)73.7%74.9%Claude Opus 4.5
MortgageTax (Vals AI)61.1%68.7%Claude Opus 4.5
MedQA (Vals AI)93.6%95.9%Claude Opus 4.5
MedCode (Vals AI)47.2%49.2%Claude Opus 4.5
MMLU Pro (Artificial Analysis run)Not measured89.5%Only Claude Opus 4.5 measured
SimpleQA VerifiedNot measured45.7%Only Claude Opus 4.5 measured
GeoBenchNot measured75.0%Only Claude Opus 4.5 measured
LMArena Text: science14221454Claude Opus 4.5
LMArena Text: medicine and healthcare14161444Claude Opus 4.5
LMArena Text: legal and government14211459Claude Opus 4.5
LMArena Text: business and finance14061448Claude Opus 4.5
Neither model has a result on the other 2 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 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
Design Arena: websites11771247Claude Opus 4.5
Design Arena: UI components11641238Claude Opus 4.5
Design Arena: game dev11721229Claude Opus 4.5
Design Arena: data viz11661243Claude Opus 4.5
Design Arena: 3D11531214Claude Opus 4.5
Design Arena: all code categories11711242Claude Opus 4.5
Design Arena: SVG11521180Claude Opus 4.5
Design Arena: ASCII art11671190Claude Opus 4.5
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 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
SAGE (Vals AI)31.4%52.1%Claude Opus 4.5
MedScribe (Vals AI)73.9%85.3%Claude Opus 4.5
IFBenchNot measured58.0%Only Claude Opus 4.5 measured
Long context reasoning (AA-LCR)Not measured77.3%Only Claude Opus 4.5 measured
DTBench80.0%89.9%Claude Opus 4.5
LMCA37.1%44.5%Claude Opus 4.5
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
CL-benchNot measured21.1%Only Claude Opus 4.5 measured
Furniture assemblyNot measured28.3%Only Claude Opus 4.5 measured
LMArena Text14191451Claude Opus 4.5
LMArena Text: instruction following14351478Claude Opus 4.5
LMArena Text: creative writing14121445Claude Opus 4.5
LMArena Text: English14331461Claude Opus 4.5
LMArena Text: non-English14051438Claude Opus 4.5
LMArena Text: Chinese14271470Claude Opus 4.5
LMArena Text: German14131449Claude Opus 4.5
LMArena Text: Japanese13771417Claude Opus 4.5
LMArena Text: Korean13811424Claude Opus 4.5
LMArena Text: French14331471Claude Opus 4.5
LMArena Text: Spanish14481457Claude Opus 4.5
LMArena Text: Russian14221447Claude Opus 4.5
LMArena Text: Polish14131439Claude Opus 4.5
LMArena Text: multi-turn14441466Claude Opus 4.5
LMArena Text: longer queries14551479Claude Opus 4.5
LMArena Text: writing and language14181452Claude Opus 4.5
LMArena Text: entertainment and media13981434Claude Opus 4.5
LMArena DocumentNot measured1462Only Claude Opus 4.5 measured
Neither model has a result on the other 19 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 4.5
BenchmarkClaude Opus 4.1Claude Opus 4.5Leader
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 4.5$0.018Fits in one request

Claude Opus 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Claude Opus 4.5$0.325Fits in one request

Claude Opus 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Claude Opus 4.5$1.25Exceeds the context window

Claude Opus 4.5 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 4.5
SpecificationAnthropic Claude Opus 4.1Anthropic Claude Opus 4.5
MakerAnthropicAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025November 24, 2025
Context window200K200K
Input $/Mtok$15.00$5.00
Output $/Mtok$75.00$25.00
Coding index27.266.8
Independent measurements behind it12
Cost per solved taskNot computable$1.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Claude Opus 4.5 for coding?

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when the benchmark that matters is MMLU Pro, where it leads.

Which is cheaper, Claude Opus 4.1 or Claude Opus 4.5?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Claude Opus 4.5 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.1 or Claude Opus 4.5?

Neither: both take 200K tokens.

How many benchmarks is the Claude Opus 4.1 vs Claude Opus 4.5 comparison based on?

69 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 4.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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