Claude Haiku 5.5 released
Anthropic · Model release
Source confirmed
Data as of October 7, 2026 · How the score is built
CurrentProprietaryReasoning
Claude Haiku 5.5
Decision readingClaude Haiku 5.5 scores 66.3 out of 100 and ranks #28 of 216. This profile shows 5 source-displayable benchmark rows; its strongest eligible category is Agentic at #18. API pricing is $0.1 input and $0.5 output per million tokens, with cached input at $0.01.
Released Oct 7, 2026 — see all recent releases
Claude Haiku 5.5 will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
66.3/100
field median 52.1#28 of 216 ranked models
Public
#28of 216
Verified —
Price
$0.10input / $0.50 output
input median $0.95cached $0.010 · batch + cache $0.005 · blended $0.30
Speed
Not measured
field median 97 tok/sTime to first token not measured
Context
1Mtokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Agentic ranks #18. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
5 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 5 displayable benchmark rows
Follow model changesCheck the published record for the model and serving route you use.
Check this modelCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #18 of 122Percentile 86thWeight 22%2 benchmarksVerified | 62.1 | 2 benchmarks | Verified | |||
| CodingRank #20 of 146Percentile 87thWeight 20%1 benchmarkVerified | 60.9 | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| KnowledgeRank Not rankedWeight 12%1 benchmarkVerified | 72.8 | 1 benchmark | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
5 of 665 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic2/2 verified
- Coding1/1 verified
- ReasoningNot measured
- Multimodal1/1 verified
- Knowledge1/1 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Verified sourceProvisionalNot measured
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Claude Haiku 5.5 category percentile values
- Agentic86th percentile
- Coding87th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- KnowledgeNot eligible
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#18/122
- Coding#20/146
- ReasoningNot ranked
- MultimodalNot ranked
- KnowledgeNot ranked
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Top decileTop quartileMid-fieldNot eligible
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierCode 1.1 Main | Score46.4% | Versus best verified row Best verified: Claude Opus 5.5 · 54.4% | Gap8 behind | Weight4% ref. weight | Provider exact |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 4.0 | Score39.20% | Versus best verified row Best verified: Claude Sonnet 5.5 · 70.60% | Gap31.4 behind | Weight8% ref. weight | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score57.4% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap10.3 behind | Weight3% ref. weight | Provider exact |
Multimodal1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Chartography (no tools)Chartography without tools | Score46.4% | Versus best verified row Best verified: Gemini 4 Argon · 71.6% | Gap25.2 behind | WeightDisplay only | Provider exact |
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLE w/o toolsHumanity's Last Exam without tools | Score45.9% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap18.5 behind | Weight7% ref. weight | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 5 rowsWhat it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Current modelExplore all models
Claude Haiku 5.5 · 66.3 score · $0.30 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Radar
Full release historyClaude Haiku 5.5 release history
Radar confirmed these at the source. Use Claude Haiku 5.5 in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- claude-haiku-5-5Anthropic Claude Haiku 5.5 model documentation
- Context window
- 1MAnthropic Claude Haiku 5.5 model documentation
- Maximum output
- 128KAnthropic Claude Haiku 5.5 model documentation
- Knowledge cutoff
- June 2026Anthropic Claude Haiku 5.5 model documentation
- Input modalities
- text, imageAnthropic Claude Haiku 5.5 model documentation
- Output modalities
- textAnthropic Claude Haiku 5.5 model documentation
- Parameters
- Not disclosed by the provider
- Availability
- Claude API · Amazon Bedrock · Google Cloud · Microsoft Foundry · Claude Platform on AWSAnthropic Claude Haiku 5.5 model documentation
- Cloud regions
- Not tracked yet
- Lifecycle
- activeAnthropic Claude Haiku 5.5 model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.010 per million cached input tokensClaude API pricing
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Claude Haiku 5.5 ranks #28 of 216 on the public leaderboard with a score of 66.32/100. It does not yet have enough sourced coverage for a verified position.
Claude Haiku 5.5 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Generally available across the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, and Claude Platform on AWS. The API model ID is `claude-haiku-5-5`; Anthropic lists a 1M-token context window and up to 128K output tokens.
Its explicit predecessor is Claude Haiku 4.5. 5 of 665 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #18, while its lowest eligible position is Coding at #20. particularly useful for coding agents, browser research, and computer-use workflows.
Last updated October 7, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Claude Haiku 5.5 perform overall in AI benchmarks?
Claude Haiku 5.5 ranks #28 out of 216 models on the public BenchAlign leaderboard, with a score of 66.32/100. Its evidence status is Estimated, and this profile shows 5 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Claude Haiku 5.5 good for knowledge and understanding?
Claude Haiku 5.5 has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Claude Haiku 5.5 good for coding and programming?
Claude Haiku 5.5 ranks #20 out of 146 eligible models for coding and programming, with a public category score of 60.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Claude Haiku 5.5 good for agentic tool use and computer tasks?
Claude Haiku 5.5 ranks #18 out of 122 eligible models for agentic tool use and computer tasks, with a public category score of 62.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Claude Haiku 5.5 good for multimodal and grounded tasks?
Claude Haiku 5.5 has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Does Claude Haiku 5.5 have full benchmark coverage on BenchLM?
No. Claude Haiku 5.5 currently has 17 source-displayable rows across 665 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Claude Haiku 5.5?
Claude Haiku 5.5 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.