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Claude Haiku 4.5 vs o1

Claude Haiku 4.5 leads o1 on the Artificial Analysis Intelligence Index, 16.9 to 15.2, and Claude Haiku 4.5 costs 12.0x less per output token ($5.00 vs $60.00 per million). Updated October 21, 2026; 48 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
34
o1OpenAI
Coding
No data
Overall
44.6
Output $/M
$60.00
14
vs boards won of 48 shared

Claude Haiku 4.5 or o1: which to pick

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding.

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

Shared results
48
Claude Haiku 4.5 only
47
o1 only
21
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 Haiku 4.5 35.6 from 4 benchmarks, o1 not benchmarked.
Widest category
Reasoning, 11.1 points apart on average over 8 shared benchmarks.
Widest single gap
MMMU Pro (Vals AI): Claude Haiku 4.5 46.1% against o1 77.4%, 31.3 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against o1 $60.00 per million output tokens, 12.0x 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 Haiku 4.5Barso1Ties
Coding32
Intelligence20
Reasoning44
Math51
Knowledge54
General153
All shared boards3414
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
Aider polyglotNot measured61.7%Only o1 measured
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.939.7Claude Haiku 4.5
LiveCodeBench (Vals AI)41.2%50.3%o1
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 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-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%46.1%o1
LMArena Text: coding14541367Claude Haiku 4.5
LMArena Text: software and IT14391366Claude Haiku 4.5
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
SciCodeNot measured4.6%Only o1 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
AA Intelligence Index16.915.2Claude Haiku 4.5
Epoch Capabilities Index142.2141.7Claude Haiku 4.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
τ²-Bench TelecomNot measured62.6%Only o1 measured
METR time horizonsNot measured51.1%Only o1 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 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 index44
Reasoning benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
GPQA Diamond72.2%73.2%o1
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%77.4%o1
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)71.2%76.8%o1
ARC-AGI47.7%30.7%Claude Haiku 4.5
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzles8.0%10.0%o1
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts14211371Claude Haiku 4.5
LMArena Text: expert14431361Claude Haiku 4.5
LMArena Text: hard prompts in English14351372Claude Haiku 4.5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
AIME82.7%71.5%Claude Haiku 4.5
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)92.2%89.3%Claude Haiku 4.5
OTIS Mock AIME66.7%73.3%o1
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 596.4%94.7%Claude Haiku 4.5
LMArena Text: math13981388Claude Haiku 4.5
LMArena Text: mathematical work14301390Claude Haiku 4.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
MMLU Pro78.7%83.5%o1
LegalBench (Vals AI)81.2%80.4%Claude Haiku 4.5
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%74.3%o1
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%96.5%o1
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA Verified13.2%41.1%o1
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science14061369Claude Haiku 4.5
LMArena Text: medicine and healthcare13941355Claude Haiku 4.5
LMArena Text: legal and government14001368Claude Haiku 4.5
LMArena Text: business and finance14001328Claude Haiku 4.5
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1100Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1072Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1115Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1026Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1140Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index153
General benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 4.5o1Leader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)Not measured65.0%Only o1 measured
DTBench73.6%74.7%o1
LMCA30.9%22.3%Claude Haiku 4.5
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971366Claude Haiku 4.5
LMArena Text: instruction following14141367Claude Haiku 4.5
LMArena Text: creative writing13711347Claude Haiku 4.5
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English14141372Claude Haiku 4.5
LMArena Text: non-English13771358Claude Haiku 4.5
LMArena Text: Chinese14181394Claude Haiku 4.5
LMArena Text: German13741337Claude Haiku 4.5
LMArena Text: Japanese13381346o1
LMArena Text: Korean13461396o1
LMArena Text: French14111344Claude Haiku 4.5
LMArena Text: Spanish14211345Claude Haiku 4.5
LMArena Text: Russian13811356Claude Haiku 4.5
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn14091355Claude Haiku 4.5
LMArena Text: longer queries14271378Claude Haiku 4.5
LMArena Text: writing and language13861360Claude Haiku 4.5
LMArena Text: entertainment and media13691358Claude Haiku 4.5
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and o1
BenchmarkClaude Haiku 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 Haiku 4.5$0.0035Fits in one request
o1$0.045Fits in one request

Claude Haiku 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
o1$0.930Fits in one request

Claude Haiku 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
o1$3.60Exceeds the context window

Claude Haiku 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 Haiku 4.5 and o1
SpecificationAnthropic Claude Haiku 4.5OpenAI o1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025December 17, 2024
Context window200K200K
Input $/Mtok$1.00$15.00
Output $/Mtok$5.00$60.00
Coding index35.6Not benchmarked
Independent measurements behind it40
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than o1 for coding?

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding. Pick o1 for work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.

Which is cheaper, Claude Haiku 4.5 or o1?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Claude Haiku 4.5 only.

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

Neither: both take 200K tokens.

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

48 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 4 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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