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Claude Opus 4.1 vs o1

Updated October 21, 2026. 49 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
42
o1OpenAI
Coding
61.7
Overall
15.2
Output $/M
$60.00
7
vs boards won of 49 shared

Decision reading

Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Pick Claude Opus 4.1 when what matters is LiveCodeBench (Vals AI) or LMArena Text: coding, where it leads.

Shared results
49
Claude Opus 4.1 only
22
o1 only
19
Like-for-like categories
7 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, o1 61.7 from 1 benchmark.
Widest category
Agentic work, 15.8 points apart on average over 1 shared benchmark.
Widest single gap
SimpleBench: Claude Opus 4.1 60.0% against o1 40.1%, 19.9 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against o1 $60.00 per million output tokens, 1.3x 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 4.1Barso1Ties
Coding31
Intelligence20
Agentic work10
Reasoning71
Math52
Knowledge62
General181
All shared boards427
CodingLike-for-likeFour of these boards feed the Vibe Coding Index31
Coding benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
Aider polyglotNot measured61.7%Only o1 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
AA Coding IndexNot measured39.7Only o1 measured
LiveCodeBench (Vals AI)66.5%50.3%Claude Opus 4.1
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured12.9%Only o1 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%46.1%o1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791367Claude Opus 4.1
LMArena Text: software and IT14561366Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
AA Intelligence Index22.815.2Claude Opus 4.1
Epoch Capabilities Index144.1141.7Claude Opus 4.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
τ²-Bench TelecomNot measured62.6%Only o1 measured
METR time horizons66.8%51.1%Claude Opus 4.1
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
GPQA Diamond76.3%73.2%Claude Opus 4.1
MMMU Pro (Vals AI)77.5%77.4%Claude Opus 4.1
GPQA Diamond (Artificial Analysis run)Not measured74.7%Only o1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.0%Only o1 measured
GPQA Diamond (Epoch AI run)77.3%76.8%Claude Opus 4.1
ARC-AGINot measured30.7%Only o1 measured
SimpleBench60.0%40.1%Claude Opus 4.1
Chess puzzlesNot measured10.0%Only o1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%37.0%o1
LMArena Text: hard prompts14421371Claude Opus 4.1
LMArena Text: expert14381361Claude Opus 4.1
LMArena Text: hard prompts in English14511372Claude Opus 4.1
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index52
Math benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
AIME78.2%71.5%Claude Opus 4.1
MATH 500 (Vals AI)95.4%90.4%Claude Opus 4.1
MGSM (Vals AI)94.4%89.3%Claude Opus 4.1
OTIS Mock AIME68.9%73.3%o1
FrontierMath, tiers 1 to 312.6%14.7%o1
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math14311388Claude Opus 4.1
LMArena Text: mathematical work14341390Claude Opus 4.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index62
Knowledge benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
MMLU Pro87.9%83.5%Claude Opus 4.1
LegalBench (Vals AI)83.5%80.4%Claude Opus 4.1
TaxEval (Vals AI)73.7%74.3%o1
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%96.5%o1
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science14221369Claude Opus 4.1
LMArena Text: medicine and healthcare14161355Claude Opus 4.1
LMArena Text: legal and government14211368Claude Opus 4.1
LMArena Text: business and finance14061328Claude Opus 4.1
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 o1
BenchmarkClaude Opus 4.1o1Leader
Design Arena: websites1177Not measuredOnly Claude Opus 4.1 measured
Design Arena: UI components1164Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev1172Not measuredOnly Claude Opus 4.1 measured
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1153Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1152Not 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 index181
General benchmarks for Claude Opus 4.1 and o1
BenchmarkClaude Opus 4.1o1Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)Not measured65.0%Only o1 measured
DTBench80.0%74.7%Claude Opus 4.1
LMCA37.1%22.3%Claude Opus 4.1
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)84.7%70.2%Claude Opus 4.1
LMArena Text14191366Claude Opus 4.1
LMArena Text: instruction following14351367Claude Opus 4.1
LMArena Text: creative writing14121347Claude Opus 4.1
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English14331372Claude Opus 4.1
LMArena Text: non-English14051358Claude Opus 4.1
LMArena Text: Chinese14271394Claude Opus 4.1
LMArena Text: German14131337Claude Opus 4.1
LMArena Text: Japanese13771346Claude Opus 4.1
LMArena Text: Korean13811396o1
LMArena Text: French14331344Claude Opus 4.1
LMArena Text: Spanish14481345Claude Opus 4.1
LMArena Text: Russian14221356Claude Opus 4.1
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn14441355Claude Opus 4.1
LMArena Text: longer queries14551378Claude Opus 4.1
LMArena Text: writing and language14181360Claude Opus 4.1
LMArena Text: entertainment and media13981358Claude Opus 4.1
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 18 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 o1
BenchmarkClaude Opus 4.1o1Leader
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
o1$0.045Fits in one request

o1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
o1$0.930Fits in one request

o1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
o1$3.60Exceeds the context window

o1 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 o1
SpecificationAnthropic Claude Opus 4.1OpenAI o1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025December 17, 2024
Context window200K200K
Input $/Mtok$15.00$15.00
Output $/Mtok$75.00$60.00
Coding index27.261.7
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than o1 for coding?

Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is LiveCodeBench (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, Claude Opus 4.1 or o1?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or o1?

Neither: both take 200K tokens.

How many benchmarks is the Claude Opus 4.1 vs o1 comparison based on?

49 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 o1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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