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Claude Opus 4.5 vs o1

Claude Opus 4.5 leads o1 on the Artificial Analysis Intelligence Index, 29.1 to 15.2, and Claude Opus 4.5 costs 2.4x less per output token ($25.00 vs $60.00 per million). Updated October 21, 2026; 59 benchmarks have a result for both.

Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
56
o1OpenAI
Coding
No data
Overall
44.6
Output $/M
$60.00
3
vs boards won of 59 shared

Claude Opus 4.5 or o1: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding.

Pick o1 for work measured by MedQA (Vals AI) or GeoBench, where it leads.

Shared results
59
Claude Opus 4.5 only
49
o1 only
10
Like-for-like categories
7 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 4.5 44.0 from 3 benchmarks, o1 not benchmarked.
Widest category
Agentic work, 25.4 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI: Claude Opus 4.5 80.0% against o1 30.7%, 49.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against o1 $60.00 per million output tokens, 2.4x 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 4.5Barso1Ties
Coding60
Intelligence20
Agentic work20
Reasoning120
Math60
Knowledge92
General191
All shared boards563
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
Aider polyglotNot measured61.7%Only o1 measured
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
AA Coding IndexNot measured39.7Only o1 measured
LiveCodeBench (Vals AI)83.7%50.3%Claude Opus 4.5
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%67.9%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%12.9%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%46.1%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031367Claude Opus 4.5
LMArena Text: software and IT14831366Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured4.6%Only o1 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
AA Intelligence Index29.115.2Claude Opus 4.5
Epoch Capabilities Index150.1141.7Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1175Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%62.6%Claude Opus 4.5
METR time horizons75.0%51.1%Claude Opus 4.5
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
GPQA Diamond85.9%73.2%Claude Opus 4.5
MMMU Pro (Vals AI)83.0%77.4%Claude Opus 4.5
GPQA Diamond (Artificial Analysis run)86.6%74.7%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%7.0%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%76.8%Claude Opus 4.5
ARC-AGI80.0%30.7%Claude Opus 4.5
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%40.1%Claude Opus 4.5
Chess puzzles14.0%10.0%Claude Opus 4.5
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%37.0%Claude Opus 4.5
LMArena Text: hard prompts14761371Claude Opus 4.5
LMArena Text: expert14871361Claude Opus 4.5
LMArena Text: hard prompts in English14821372Claude Opus 4.5
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
AIME95.4%71.5%Claude Opus 4.5
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)95.2%89.3%Claude Opus 4.5
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%73.3%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%14.7%Claude Opus 4.5
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math14631388Claude Opus 4.5
LMArena Text: mathematical work14681390Claude Opus 4.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
Knowledge benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
MMLU Pro87.3%83.5%Claude Opus 4.5
LegalBench (Vals AI)84.6%80.4%Claude Opus 4.5
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%74.3%Claude Opus 4.5
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%96.5%o1
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%84.1%Claude Opus 4.5
SimpleQA Verified45.7%41.1%Claude Opus 4.5
GeoBench75.0%80.0%o1
LMArena Text: science14541369Claude Opus 4.5
LMArena Text: medicine and healthcare14441355Claude Opus 4.5
LMArena Text: legal and government14591368Claude Opus 4.5
LMArena Text: business and finance14481328Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
Design Arena: websites1247Not measuredOnly Claude Opus 4.5 measured
Design Arena: UI components1238Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev1229Not measuredOnly Claude Opus 4.5 measured
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1214Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1181Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%70.3%o1
Long context reasoning (AA-LCR)77.3%65.0%Claude Opus 4.5
DTBench89.9%74.7%Claude Opus 4.5
LMCA44.5%22.3%Claude Opus 4.5
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511366Claude Opus 4.5
LMArena Text: instruction following14781367Claude Opus 4.5
LMArena Text: creative writing14451347Claude Opus 4.5
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English14611372Claude Opus 4.5
LMArena Text: non-English14381358Claude Opus 4.5
LMArena Text: Chinese14701394Claude Opus 4.5
LMArena Text: German14491337Claude Opus 4.5
LMArena Text: Japanese14171346Claude Opus 4.5
LMArena Text: Korean14241396Claude Opus 4.5
LMArena Text: French14711344Claude Opus 4.5
LMArena Text: Spanish14571345Claude Opus 4.5
LMArena Text: Russian14471356Claude Opus 4.5
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn14661355Claude Opus 4.5
LMArena Text: longer queries14791378Claude Opus 4.5
LMArena Text: writing and language14521360Claude Opus 4.5
LMArena Text: entertainment and media14341358Claude Opus 4.5
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and o1
BenchmarkClaude Opus 4.5o1Leader
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 4.5$0.018Fits in one request
o1$0.045Fits in one request

Claude Opus 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
o1$0.930Fits in one request

Claude Opus 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
o1$3.60Exceeds 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 4.5 and o1
SpecificationAnthropic Claude Opus 4.5OpenAI o1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025December 17, 2024
Context window200K200K
Input $/Mtok$5.00$15.00
Output $/Mtok$25.00$60.00
Coding index44.0Not benchmarked
Independent measurements behind it30
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than o1 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding. Pick o1 for work measured by MedQA (Vals AI) or GeoBench, where it leads.

Which is cheaper, Claude Opus 4.5 or o1?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or o1?

Neither: both take 200K tokens.

How many benchmarks is the Claude Opus 4.5 vs o1 comparison based on?

59 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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