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Data

Data as of October 17, 2026 · How the score is built

Superseded.Anthropic has newer models in this line:Claude Haiku 5.5
SupersededProprietaryNon-Reasoning

Released Oct 15, 2025200K context

Claude Haiku 4.5

Decision readingClaude Haiku 4.5 scores 41.2 out of 100 and ranks #133 of 224. This profile shows 9 source-displayable benchmark rows; its strongest eligible category is Agentic at #107. API pricing is $1 input and $5 output per million tokens, with cached input at $0.1.

Released Oct 15, 2025 — see all recent releases

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

41.2/100

field median 49.6#133 of 224 ranked models

Public

#133of 224

Verified —

Price

$1input / $5 output

input median $0.75cached $0.10 · batch + cache $0.050 · blended $3

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

200Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Agentic ranks #107. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

9 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 9 displayable benchmark rows

Category 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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #107 of 128Percentile 17thWeight 22%3 benchmarksVerified
21.4
CodingRank #126 of 150Percentile 16thWeight 20%4 benchmarksVerified
16.8
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #141 of 184Percentile 23rdWeight 12%2 benchmarksVerified
33.3
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

9 of 681 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How 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.

  1. Agentic3/3 verified
  2. Coding4/4 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge2/2 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. 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 4.5 category percentile values

  • Agentic17th percentile
  • Coding16th percentile
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge23rd percentile
  • MultilingualNot eligible
  • Instruction followingNot eligible
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#107/128
  2. Coding#126/150
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#141/184
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. 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.

Coding4 rows
Coding benchmark values, best verified comparison, weight, and source status
LiveCodeBench (Vals)LiveCodeBench, Vals AI runScore41.2%Versus best verified row

Best verified: Claude Fable 5.1 · 90.5%

Gap49.3 behindWeight8% ref. weight
VulcanBench v3Score76.2%Versus best verified row

Best verified: Grok 4.5 · 89.9%

Gap13.7 behindWeight3% ref. weight
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore73.3%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap22.7 behindWeightDisplay only
SWE-bench (Vals)SWE-bench, Vals AI runScore66.6%Versus best verified row

Best verified: Claude Opus 5 · 97.0%

Gap30.4 behindWeightDisplay only
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
JobBenchScore16.0%Versus best verified row

Best verified: Muse Wonder Full · 75.3%

Gap59.3 behindWeight6% ref. weight
Benchmark exact
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore43.8%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap43.5 behindWeight4% ref. weight
MazeBenchMazeBench: visual spatial reasoning in a 3D open worldScore0%Versus best verified row

Best verified: GPT-6 Astra · 23%

Gap23 behindWeightDisplay only
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
MMLU-Pro (Vals)MMLU-Pro, Vals AI runScore78.7%Versus best verified row

Best verified: Claude Fable 5.1 · 92.4%

Gap13.7 behindWeight6% ref. weight
GPQA Diamond (Vals)GPQA Diamond, Vals AI runScore72.2%Versus best verified row

Best verified: Gemini 3.1 Pro · 95.5%

Gap23.3 behindWeight2% ref. weight

Bars run 0–100; the dark tick marks the best source-verified value

All 9 rows

What 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 4.5 · 41.2 score · $3 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

30405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierClaude Haiku 4.5

Horizontal: blended price per million tokens, log scale · Vertical: public score

Published price history

This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.

0362025-092026-042026-07Output priceInput price

3 dated first-party price records. The newest record lists $5 per million tokens.

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.

  1. Oct 15, 2025 · you are here

    Claude Haiku 4.5

    Score 41.2 · $1 / $5

  2. Oct 7, 2026

    Claude Haiku 5.5

    Score 70.0 · $0.1 / $0.5

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-4-5-20251001Claude API pricing
Context window
200KClaude API pricing
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.10 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 4.5 ranks #133 of 224 on the public leaderboard with a score of 41.16/100. It does not yet have enough sourced coverage for a verified position.

Claude Haiku 4.5 is a proprietary model with a 200K context window. No explicit reasoning mode is documented in this profile.

Claude Haiku 4.5 sits in the Claude Haiku 4.5 family with Claude Haiku 4.5 Thinking. 9 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #107, while its lowest eligible position is Knowledge at #141. particularly useful for coding agents, browser research, and computer-use workflows.

Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Claude Haiku 4.5 perform overall in AI benchmarks?

Claude Haiku 4.5 ranks #133 out of 224 models on the public BenchAlign leaderboard, with a score of 41.16/100. Its evidence status is Estimated, and this profile shows 9 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Haiku 4.5 good for knowledge and understanding?

Claude Haiku 4.5 ranks #141 out of 184 eligible models for knowledge and understanding, with a public category score of 33.3/100. 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 4.5 good for coding and programming?

Claude Haiku 4.5 ranks #126 out of 150 eligible models for coding and programming, with a public category score of 16.8/100. 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 4.5 good for agentic tool use and computer tasks?

Claude Haiku 4.5 ranks #107 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 21.4/100. 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.

Which sibling models are related to Claude Haiku 4.5?

Claude Haiku 4.5 belongs to the Claude Haiku 4.5 family. Related tracked variants include Claude Haiku 4.5 Thinking. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Claude Haiku 4.5 have full benchmark coverage on BenchLM?

No. Claude Haiku 4.5 currently has 10 source-displayable rows across 681 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 4.5?

Claude Haiku 4.5 has a documented context window of 200K. 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.

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Compare Claude Haiku 4.5 with every tracked model953 comparisons