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Anthropic Claude Haiku 5.5

  • Anthropic
  • Released October 7, 2026
  • No public weights listed
  • 1M context

As of October 20, 2026, Anthropic Claude Haiku 5.5 ranks #19 of 213 models overall with 43.4 on the Artificial Analysis Intelligence Index. Its strongest category is math, where it ranks #14 of 116. Anthropic Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens. It was released on October 7, 2026.

Its output price ranks 85 of 349 priced models, counting from the cheapest.

  • Coding index 75.9 Partial, 2 benchmarks
  • Cost per solved task Not computable No published attempt cost
  • Output, per million tokens $0.50 85 of 349 from the cheapest
  • Input, per million tokens $0.10 OpenRouter list price
  • Context window 1M Tokens per request
New model

Claude Haiku 5.5 launch tracker

Listed on OpenRouter October 7, 2026, 13 days before our data. Results so far on 63 of 190 public boards; this page updates every day as boards publish.

About and specs

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

API model id anthropic/claude-haiku-5.5
  • Tool callingListed
  • Structured outputsListed
  • JSON modeListed
  • Reasoning modeListed
  • Web searchNot listed
Takes in
Text, Images, Files
Gives back
Text
Context window
1M tokens
Max output
128K tokens
Knowledge cutoff
June 2026, per Anthropic model documentation
Cached input $/Mtok
$0.01
Cache write $/Mtok
$0.125
Reasoning $/Mtok
Not priced apart
Web search, per request
$0.01
Tokenizer
Claude
Requests moderated
Yes, by the provider
Withdrawn on
No date announced
Parameters
Not published
Downloads, all time
No public weights
Training compute
No estimate published
Output speed
239 tokens/s, Max effort
Time to first token
291 s, Max effort
Speed on OpenRouter
133 tokens/s via Anthropic, 30-minute median
First token on OpenRouter
0.9 s via Anthropic, 30-minute median

Benchmarks: 63 of 190 measured

The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.

Coding index

75.9
  • Aider polyglot Not measured
  • SWE-bench Verified Not measured
  • LiveBench coding 91.4% 91 of 100
  • LMArena WebDev Elo, scaled from 1200 to 1900 1586 Elo 55 of 100

The index averages only the coding benchmarks that have a result; the others are skipped, never filled in. How it is weighted

Other public boards

All rankings

Coding13 of 34 boards

7 more coding boards

Not measured on SWE-bench Lite, SWE-bench (full test set), SWE-bench Multimodal, SWE-bench Multilingual, AA Coding Index, LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI), Terminal-Bench 2.1 (Vals AI), SkillsBench (Vals AI), LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run), Terminal-Bench, DeepSWE, GSO-Bench, WeirdML, MirrorCode, Cybench, ALE-Bench, LMArena Text: coding, LMArena Text: software and IT, LMArena WebDev: from an image

Intelligence2 of 2 boards

Agentic work14 of 39 boards

8 more agentic work boards

Not measured on AA Agentic Index, Design Arena: agents building web apps, Design Arena: agents building full-stack apps, Design Arena: agents building mobile apps, Design Arena: agents building Android apps, Design Arena: agents building Godot games, Design Arena: agents building games, Design Arena: HTML slides, Design Arena: PowerPoint slides, Design Arena: spreadsheets, Time Horizon Index (Vals AI), CUA-bench (Vals AI), Robo-bench (Vals AI), τ²-Bench Telecom, METR time horizons, Remote Labor Index, GDPval, OSWorld 2.0, BALROG, DeepResearch Bench, PostTrainBench, TheAgentCompany, OSWorld, SpireClimb, LMArena Search

Reasoning10 of 21 boards

4 more reasoning boards

Not measured on GPQA Diamond, MMMU Pro (Vals AI), GPQA Diamond (Artificial Analysis run), SimpleBench, VPCT, BIG-Bench Hard, LMArena Text: hard prompts, LMArena Text: expert, LMArena Text: hard prompts in English, LMArena Vision: diagrams, LMArena Vision: homework

Math4 of 13 boards

Not measured on AIME, MATH 500 (Vals AI), MGSM (Vals AI), AA Math Index, AIME 2025 (Artificial Analysis run), MATH level 5, GSM8K, LMArena Text: math, LMArena Text: mathematical work

Knowledge2 of 17 boards

Not measured on MMLU Pro, LegalBench (Vals AI), CaseLaw (Vals AI), CorpFin (Vals AI), TaxEval (Vals AI), MortgageTax (Vals AI), MedQA (Vals AI), MMLU Pro (Artificial Analysis run), MMLU, GeoBench, AI2 Reasoning Challenge, LMArena Text: science, LMArena Text: medicine and healthcare, LMArena Text: legal and government, LMArena Text: business and finance

Web design7 of 9 boards

1 more web design boards

Not measured on Design Arena: SVG, Design Arena: ASCII art

General9 of 46 boards

3 more general boards

Not measured on Vals Multimodal Index, IFBench, Fiction.LiveBench, Creative writing (Lech Mazur), CL-bench, Surface Evolver Bench, ExploitBench, HellaSwag, WinoGrande, PIQA, CL-bench Life, LMArena Text, LMArena Text: instruction following, LMArena Text: creative writing, LMArena Vision, LMArena Text: English, LMArena Text: non-English, LMArena Text: Chinese, LMArena Text: German, LMArena Text: Japanese, LMArena Text: Korean, LMArena Text: French, LMArena Text: Spanish, LMArena Text: Russian, LMArena Text: Polish, LMArena Text: multi-turn, LMArena Text: longer queries, LMArena Text: writing and language, LMArena Text: entertainment and media, LMArena Vision: English, LMArena Vision: Chinese, LMArena Vision: reading text, LMArena Vision: humor, LMArena Vision: captioning, LMArena Vision: recognizing things, LMArena Vision: creative writing, LMArena Document

Image generation0 of 5 boards

Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit

Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.

All 190 benchmarks as a table
Benchmark results for Anthropic Claude Haiku 5.5
BenchmarkResultIndex weight
Aider polyglotCoding Not measured 35%
SWE-bench VerifiedCoding Not measured 30%
SWE-bench LiteCoding Not measured Not in index
SWE-bench (full test set)Coding Not measured Not in index
SWE-bench MultimodalCoding Not measured Not in index
SWE-bench MultilingualCoding Not measured Not in index
LiveBench codingCoding 91.4% 20%
LMArena WebDevCoding 1586 15%
Vals IndexGeneral 58.7% Not in index
GPQA DiamondReasoning Not measured Not in index
AIMEMath Not measured Not in index
MMLU ProKnowledge Not measured Not in index
AA Intelligence IndexIntelligence 43.4 Not in index
AA Coding IndexCoding Not measured Not in index
AA Agentic IndexAgentic work Not measured Not in index
Design Arena: websitesWeb design 1263 Not in index
Design Arena: UI componentsWeb design 1295 Not in index
Design Arena: game devWeb design 1316 Not in index
Design Arena: data vizWeb design 1291 Not in index
Design Arena: 3DWeb design 1344 Not in index
Design Arena: all code categoriesWeb design 1279 Not in index
Design Arena: SVGWeb design Not measured Not in index
Design Arena: ASCII artWeb design Not measured Not in index
Design Arena: agents building web appsAgentic work Not measured Not in index
Design Arena: agents building full-stack appsAgentic work Not measured Not in index
Design Arena: agents building mobile appsAgentic work Not measured Not in index
Design Arena: agents building Android appsAgentic work Not measured Not in index
Design Arena: agents building Godot gamesAgentic work Not measured Not in index
Design Arena: agents building gamesAgentic work Not measured Not in index
Design Arena: HTML slidesAgentic work Not measured Not in index
Design Arena: PowerPoint slidesAgentic work Not measured Not in index
Design Arena: spreadsheetsAgentic work Not measured Not in index
Design Arena: imagesImage generation Not measured Not in index
Design Arena: graphic designImage generation Not measured Not in index
Design Arena: logosImage generation Not measured Not in index
LiveBench reasoningReasoning 82.4% Not in index
LiveBench data analysisGeneral 53.1% Not in index
LiveBench researchAgentic work 81.9% Not in index
LiveBench browserAgentic work 80.0% Not in index
LiveBench long agenticAgentic work 57.6% Not in index
LiveBench designWeb design 83.1% Not in index
LiveCodeBench (Vals AI)Coding Not measured Not in index
SWE-bench Verified (Vals AI)Coding Not measured Not in index
Terminal-Bench 4 (Vals AI)Coding 36.4% Not in index
Vibe Code Bench (Vals AI)Coding 90.4% Not in index
Code migration (Vals AI)Coding 44.6% Not in index
ProgramBench (Vals AI)Coding 2.5% Not in index
SREBench (Vals AI)Agentic work 5.7% Not in index
IOI (Vals AI)Coding 47.3% Not in index
Terminal-Bench 2.1 (Vals AI)Coding Not measured Not in index
SWE-bench Multimodal (Vals AI)Coding 44.0% Not in index
Vibe Code Bench 1-100 (Vals AI)Coding 20.4% Not in index
SkillsBench (Vals AI)Coding Not measured Not in index
CyberBench (Vals AI)Coding 75.5% Not in index
Finance Agent (Vals AI)Agentic work 54.1% Not in index
Tax Agent Bench (Vals AI)Agentic work 31.9% Not in index
Legal Research Bench (Vals AI)Agentic work 43.3% Not in index
Harvey's Legal Agent Benchmark (Vals AI)Agentic work 4.2% Not in index
Excel Modeling Benchmark (Vals AI)Agentic work 59.0% Not in index
BioMysteryBench (Vals AI)Agentic work 70.4% Not in index
Terminal-Bench-Science (Vals AI)Agentic work 10.0% Not in index
Vals Science IndexAgentic work 38.5% Not in index
Time Horizon Index (Vals AI)Agentic work Not measured Not in index
CUA-bench (Vals AI)Agentic work Not measured Not in index
Robo-bench (Vals AI)Agentic work Not measured Not in index
Public Benefits Bench (Vals AI)General 63.2% Not in index
MysteryMechanism (Vals AI)Reasoning 35.1% Not in index
MMMU Pro (Vals AI)Reasoning Not measured Not in index
MATH 500 (Vals AI)Math Not measured Not in index
MGSM (Vals AI)Math Not measured Not in index
SAGE (Vals AI)General 45.8% Not in index
LegalBench (Vals AI)Knowledge Not measured Not in index
CaseLaw (Vals AI)Knowledge Not measured Not in index
CorpFin (Vals AI)Knowledge Not measured Not in index
TaxEval (Vals AI)Knowledge Not measured Not in index
MortgageTax (Vals AI)Knowledge Not measured Not in index
MedQA (Vals AI)Knowledge Not measured Not in index
MedCode (Vals AI)Knowledge 51.5% Not in index
MedScribe (Vals AI)General 89.5% Not in index
Vals Multimodal IndexGeneral Not measured Not in index
AA Math IndexMath Not measured Not in index
GPQA Diamond (Artificial Analysis run)Reasoning Not measured Not in index
Humanity's Last Exam (Artificial Analysis run)Reasoning 44.4% Not in index
MMLU Pro (Artificial Analysis run)Knowledge Not measured Not in index
LiveCodeBench (Artificial Analysis run)Coding Not measured Not in index
SciCodeCoding 55.0% Not in index
Terminal-Bench Hard (Artificial Analysis run)Coding Not measured Not in index
IFBenchGeneral Not measured Not in index
Long context reasoning (AA-LCR)General 82.7% Not in index
τ²-Bench TelecomAgentic work Not measured Not in index
AIME 2025 (Artificial Analysis run)Math Not measured Not in index
Terminal-BenchCoding Not measured Not in index
DeepSWECoding Not measured Not in index
FrontierCodeCoding 46.4% Not in index
FrontierSWECoding 43.8% Not in index
GSO-BenchCoding Not measured Not in index
WeirdMLCoding Not measured Not in index
MirrorCodeCoding Not measured Not in index
APEX-AgentsAgentic work 56.1% Not in index
METR time horizonsAgentic work Not measured Not in index
Remote Labor IndexAgentic work Not measured Not in index
GDPvalAgentic work Not measured Not in index
OSWorld 2.0Agentic work Not measured Not in index
BALROGAgentic work Not measured Not in index
DeepResearch BenchAgentic work Not measured Not in index
PostTrainBenchAgentic work Not measured Not in index
GPQA Diamond (Epoch AI run)Reasoning 89.6% Not in index
ARC-AGIReasoning 89.0% Not in index
ARC-AGI-2Reasoning 61.3% Not in index
Humanity's Last ExamReasoning 30.1% Not in index
SimpleBenchReasoning Not measured Not in index
Chess puzzlesReasoning 55.0% Not in index
Mystery game puzzlesReasoning 30.0% Not in index
EBR-benchReasoning 43.8% Not in index
OTIS Mock AIMEMath 98.9% Not in index
FrontierMath, tiers 1 to 3Math 75.1% Not in index
FrontierMath, tier 4Math 46.3% Not in index
ProofBenchMath 89.0% Not in index
MATH level 5Math Not measured Not in index
GSM8KMath Not measured Not in index
SimpleQA VerifiedKnowledge 23.8% Not in index
MMLUKnowledge Not measured Not in index
GeoBenchKnowledge Not measured Not in index
DTBenchGeneral 95.0% Not in index
LMCAGeneral 51.1% Not in index
Fiction.LiveBenchGeneral Not measured Not in index
Creative writing (Lech Mazur)General Not measured Not in index
CL-benchGeneral Not measured Not in index
Surface Evolver BenchGeneral Not measured Not in index
Furniture assemblyGeneral 47.5% Not in index
ExploitBenchGeneral Not measured Not in index
CybenchCoding Not measured Not in index
TheAgentCompanyAgentic work Not measured Not in index
OSWorldAgentic work Not measured Not in index
SpireClimbAgentic work Not measured Not in index
VPCTReasoning Not measured Not in index
BIG-Bench HardReasoning Not measured Not in index
AI2 Reasoning ChallengeKnowledge Not measured Not in index
HellaSwagGeneral Not measured Not in index
WinoGrandeGeneral Not measured Not in index
PIQAGeneral Not measured Not in index
CL-bench LifeGeneral Not measured Not in index
ALE-BenchCoding Not measured Not in index
Vending-Bench 2Agentic work $3,602 Not in index
Epoch Capabilities IndexIntelligence 159.0 Not in index
LMArena TextGeneral Not measured Not in index
LMArena Text: codingCoding Not measured Not in index
LMArena Text: hard promptsReasoning Not measured Not in index
LMArena Text: mathMath Not measured Not in index
LMArena Text: instruction followingGeneral Not measured Not in index
LMArena Text: creative writingGeneral Not measured Not in index
LMArena VisionGeneral Not measured Not in index
LMArena Text: EnglishGeneral Not measured Not in index
LMArena Text: non-EnglishGeneral Not measured Not in index
LMArena Text: ChineseGeneral Not measured Not in index
LMArena Text: GermanGeneral Not measured Not in index
LMArena Text: JapaneseGeneral Not measured Not in index
LMArena Text: KoreanGeneral Not measured Not in index
LMArena Text: FrenchGeneral Not measured Not in index
LMArena Text: SpanishGeneral Not measured Not in index
LMArena Text: RussianGeneral Not measured Not in index
LMArena Text: PolishGeneral Not measured Not in index
LMArena Text: multi-turnGeneral Not measured Not in index
LMArena Text: longer queriesGeneral Not measured Not in index
LMArena Text: expertReasoning Not measured Not in index
LMArena Text: hard prompts in EnglishReasoning Not measured Not in index
LMArena Text: software and ITCoding Not measured Not in index
LMArena Text: mathematical workMath Not measured Not in index
LMArena Text: scienceKnowledge Not measured Not in index
LMArena Text: medicine and healthcareKnowledge Not measured Not in index
LMArena Text: legal and governmentKnowledge Not measured Not in index
LMArena Text: business and financeKnowledge Not measured Not in index
LMArena Text: writing and languageGeneral Not measured Not in index
LMArena Text: entertainment and mediaGeneral Not measured Not in index
LMArena WebDev: ReactCoding 1605 Not in index
LMArena WebDev: HTMLCoding 1569 Not in index
LMArena WebDev: from an imageCoding Not measured Not in index
LMArena Vision: EnglishGeneral Not measured Not in index
LMArena Vision: ChineseGeneral Not measured Not in index
LMArena Vision: reading textGeneral Not measured Not in index
LMArena Vision: diagramsReasoning Not measured Not in index
LMArena Vision: homeworkReasoning Not measured Not in index
LMArena Vision: humorGeneral Not measured Not in index
LMArena Vision: captioningGeneral Not measured Not in index
LMArena Vision: recognizing thingsGeneral Not measured Not in index
LMArena Vision: creative writingGeneral Not measured Not in index
LMArena SearchAgentic work Not measured Not in index
LMArena DocumentGeneral Not measured Not in index
LMArena Text to ImageImage generation Not measured Not in index
LMArena Image EditImage generation Not measured Not in index

What it costs

A list price says what a token costs. The cost per solved task says what a working answer costs, which is the number that decides.

Output price against the market

Claude Haiku 5.5 pricing
$0.0112Dashed line: median $1.80, log scale$600.00
$0.50 per million output tokens is cheaper than 75% of the 344 paid models in the catalog.

Cost per solved task

How it is computed

Neither board that publishes what a SWE-bench Verified attempt costs, Vals AI and swebench.com, has run this model. We leave the number out rather than estimate it.

LiveBench, on its own coding tasks, publishes what one task cost this model: $0.874, at a score of 91.4%. LiveBench counts that as $0.956 per successful task. Different tasks from SWE-bench, so it is not our number and does not enter its ranking. LiveBench coding

Nearly as good as Claude Haiku 5.5, for less

What the boards say about its runs

Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.

What each board publishes about the runs behind Anthropic: Claude Haiku 5.5's results
BoardResultWhat the run costAlso published
LiveBench coding 91.4% $0.8738 per task Output tokens per task 138,052
Vals Index 58.7% $3.17 per test Duration, as printed 49m 48s
LiveBench reasoning 82.4% $0.0206 per task Output tokens per task 40,789
LiveBench data analysis 53.1% $0.0315 per task Output tokens per task 61,936
LiveBench research 81.9% $1.9399 per task Output tokens per task 235,636
LiveBench browser 80.0% $0.46 per task Output tokens per task 42,653
LiveBench long agentic 57.6% $10.3619 per task Output tokens per task 1.0M
LiveBench design 83.1% $0.6631 per task Output tokens per task 171,437
Terminal-Bench 4 (Vals AI) 36.4% $3.12 per test Duration, as printed 51m 56s
Vibe Code Bench (Vals AI) 90.4% $6.07 per test Duration, as printed 34m 36s
Code migration (Vals AI) 44.6% $6.23 per test Duration, as printed 1h 23m
ProgramBench (Vals AI) 2.5% $6.83 per test Duration, as printed 1h 13m
30 more boards
What each board publishes about the runs behind Anthropic: Claude Haiku 5.5's results, continued
SREBench (Vals AI) 5.7% $3.14 per test Duration, as printed 57m 56s
IOI (Vals AI) 47.3% $0.83 per test Duration, as printed 12m 34s
SWE-bench Multimodal (Vals AI) 44.0% $0.70 per test Duration, as printed 16m 16s
Vibe Code Bench 1-100 (Vals AI) 20.4% $8.30 per test Duration, as printed 4h 06m
CyberBench (Vals AI) 75.5% $1.25 per test Duration, as printed 32m 39s
Finance Agent (Vals AI) 54.1% $1.64 per test Duration, as printed 30m 49s
Tax Agent Bench (Vals AI) 31.9% $1.16 per test Duration, as printed 49m 34s
Legal Research Bench (Vals AI) 43.3% $1.63 per test Duration, as printed 1h 22m
Harvey's Legal Agent Benchmark (Vals AI) 4.2% $4.26 per test Duration, as printed 43m 41s
Excel Modeling Benchmark (Vals AI) 59.0% $1.15 per test Duration, as printed 18m 03s
BioMysteryBench (Vals AI) 70.4% $0.51 per test Duration, as printed 12m 32s
Terminal-Bench-Science (Vals AI) 10.0% $4.52 per test Duration, as printed 1h 34m
Vals Science Index 38.5% $1.86 per test Duration, as printed 39m 58s
Public Benefits Bench (Vals AI) 63.2% $0.53 per test Nothing else
MysteryMechanism (Vals AI) 35.1% $0.54 per test Duration, as printed 13m 25s
FrontierSWE 43.8% $20.55 average cost per task Best of 5 runs 52.8% · Hours per task 12.4 h
ProofBench 89.0% $0.1739 per test Time per proof 6m 58s
LMArena WebDev 1586 Elo Not published Votes 3,514 · Interval (±) ±10.9
Design Arena: websites 1263 Elo Not published Battles 6,853
Design Arena: UI components 1295 Elo Not published Battles 278
Design Arena: game dev 1316 Elo Not published Battles 1,562
Design Arena: data viz 1291 Elo Not published Battles 224
Design Arena: 3D 1344 Elo Not published Battles 758
Design Arena: all code categories 1279 Elo Not published Battles 9,118
SAGE (Vals AI) 45.8% Not published Latency, as printed 2m 23s
MedCode (Vals AI) 51.5% Not published Latency, as printed 3m 46s
MedScribe (Vals AI) 89.5% Not published Latency, as printed 5m 23s
APEX-Agents 56.1% Not published Mean score 68.3%
LMArena WebDev: React 1605 Elo Not published Votes 2,203 · Interval (±) ±13.7
LMArena WebDev: HTML 1569 Elo Not published Votes 449 · Interval (±) ±29.7

On these lists

Compare with models of a similar score

All 135 comparisons for Claude Haiku 5.5