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Claude Sonnet 4.5 vs o1

Claude Sonnet 4.5 leads o1 on the Artificial Analysis Intelligence Index, 20.7 to 15.2, and Claude Sonnet 4.5 costs 4.0x less per output token ($15.00 vs $60.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
48
o1OpenAI
Coding
No data
Overall
44.6
Output $/M
$60.00
3
vs boards won of 52 shared, 1 tied

Claude Sonnet 4.5 or o1: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding.

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

Shared results
52
Claude Sonnet 4.5 only
43
o1 only
17
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 Sonnet 4.5 39.5 from 3 benchmarks, o1 not benchmarked.
Widest category
Agentic work, 16.3 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: Claude Sonnet 4.5 63.7% against o1 30.7%, 33.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against o1 $60.00 per million output tokens, 4.0x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, o1 200K.

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 Sonnet 4.5Barso1Ties
Coding50
Intelligence20
Agentic work10
Reasoning901 tie
Math70
Knowledge63
General180
All shared boards4831 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
Aider polyglotNot measured61.7%Only o1 measured
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.139.7Claude Sonnet 4.5
LiveCodeBench (Vals AI)73.0%50.3%Claude Sonnet 4.5
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured67.9%Only o1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured12.9%Only o1 measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%46.1%Claude Sonnet 4.5
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881367Claude Sonnet 4.5
LMArena Text: software and IT14731366Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
SciCodeNot measured4.6%Only o1 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
AA Intelligence Index20.715.2Claude Sonnet 4.5
Epoch Capabilities Index146.7141.7Claude Sonnet 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured62.6%Only o1 measured
METR time horizons67.4%51.1%Claude Sonnet 4.5
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
GPQA Diamond81.6%73.2%Claude Sonnet 4.5
MMMU Pro (Vals AI)79.3%77.4%Claude Sonnet 4.5
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)82.3%76.8%Claude Sonnet 4.5
ARC-AGI63.7%30.7%Claude Sonnet 4.5
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%40.1%Claude Sonnet 4.5
Chess puzzles10.0%10.0%Tie
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%37.0%Claude Sonnet 4.5
LMArena Text: hard prompts14621371Claude Sonnet 4.5
LMArena Text: expert14831361Claude Sonnet 4.5
LMArena Text: hard prompts in English14711372Claude Sonnet 4.5
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 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 index70
Math benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
AIME88.2%71.5%Claude Sonnet 4.5
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)94.3%89.3%Claude Sonnet 4.5
OTIS Mock AIME77.8%73.3%Claude Sonnet 4.5
FrontierMath, tiers 1 to 323.9%14.7%Claude Sonnet 4.5
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%94.7%Claude Sonnet 4.5
LMArena Text: math14491388Claude Sonnet 4.5
LMArena Text: mathematical work14621390Claude Sonnet 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index63
Knowledge benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
MMLU Pro87.4%83.5%Claude Sonnet 4.5
LegalBench (Vals AI)84.1%80.4%Claude Sonnet 4.5
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%74.3%o1
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%96.5%o1
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA Verified30.7%41.1%o1
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science14481369Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441355Claude Sonnet 4.5
LMArena Text: legal and government14511368Claude Sonnet 4.5
LMArena Text: business and finance14401328Claude Sonnet 4.5
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 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 Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
Design Arena: websites1189Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: UI components1170Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: game dev1166Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: data viz1167Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: 3D1157Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: all code categories1182Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: SVG1115Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 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 index180
General benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 4.5o1Leader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)Not measured65.0%Only o1 measured
DTBench83.2%74.7%Claude Sonnet 4.5
LMCA38.8%22.3%Claude Sonnet 4.5
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text14381366Claude Sonnet 4.5
LMArena Text: instruction following14591367Claude Sonnet 4.5
LMArena Text: creative writing14421347Claude Sonnet 4.5
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English14501372Claude Sonnet 4.5
LMArena Text: non-English14251358Claude Sonnet 4.5
LMArena Text: Chinese14601394Claude Sonnet 4.5
LMArena Text: German14271337Claude Sonnet 4.5
LMArena Text: Japanese13901346Claude Sonnet 4.5
LMArena Text: Korean14021396Claude Sonnet 4.5
LMArena Text: French14591344Claude Sonnet 4.5
LMArena Text: Spanish14581345Claude Sonnet 4.5
LMArena Text: Russian14371356Claude Sonnet 4.5
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn14651355Claude Sonnet 4.5
LMArena Text: longer queries14751378Claude Sonnet 4.5
LMArena Text: writing and language14421360Claude Sonnet 4.5
LMArena Text: entertainment and media14281358Claude Sonnet 4.5
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and o1
BenchmarkClaude Sonnet 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 Sonnet 4.5$0.011Fits in one request
o1$0.045Fits in one request

Claude Sonnet 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
o1$0.930Fits in one request

Claude Sonnet 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
o1$3.60Exceeds the context window

Claude Sonnet 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 Sonnet 4.5 and o1
SpecificationAnthropic Claude Sonnet 4.5OpenAI o1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025December 17, 2024
Context window1M200K
Input $/Mtok$3.00$15.00
Output $/Mtok$15.00$60.00
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than o1 for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding. Pick o1 for work measured by TaxEval (Vals AI) or MedQA (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.5 or o1?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Claude Sonnet 4.5 only.

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

Claude Sonnet 4.5, with 1M tokens against 200K.

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

52 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 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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