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Claude Haiku 5.5 (Max)

AnthropicClaudeProprietary

Description

Claude Haiku 5.5 is Anthropic's cheapest, fastest, and most capable small model to date, and the successor to Claude Haiku 4.5. It targets high-volume, cost-sensitive work (summaries, compaction, classification, database queries) and pairs with Opus 5.5 / Sonnet 5.5 as a coding subagent; it is especially strong for speed-sensitive tasks like live support and browser use. It is the first Haiku-class model with adjustable effort (low/medium/high/xhigh/max; Claude Platform default medium). It accepts text and image input (including file/PDF) with text output, supports multilingual and vision workloads, tool use, and adaptive thinking. Context window is 1M tokens with 128K max output; knowledge cutoff is June 2026. Claude Platform pricing is tiered by prompt length: prompts up to 100K tokens are $0.10/$0.50 per million input/output (cache read $0.01, 5m cache write $0.125); prompts over 100K are $0.50/$2.50 (cache read $0.05, 5m cache write $0.625). Catalog provider pricing stores the <=100K tier. Capability scores are self-reported from the Claude Haiku 5.5 System Card (Table 8.1.A and §8) and the launch announcement. Available on the Claude API as `claude-haiku-5-5`.

Date de sortie
2026-10-07
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, pdf, text

Radar de capacités

44
general
55
coding
50
reasoning
51
science
30
agents
60
multimodal

Classements

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

AA-Briefcase v1.11578.00 / 3000Aut.
Program Bench82.0%Aut.
OfficeQA73.5%Aut.
OfficeQA Pro60.3%Aut.

Biology

LatchBio SpatialBench Verified67.7%Aut.
Protocols Understanding (V2)64.1%Aut.
Protocols Troubleshooting58.0%Aut.
Medicinal Chemistry (ADME)58.0%Aut.
Protein Design — Library Ranking45.3%Aut.
Biomedical image analysis43.5%Aut.
Protein Design — Sequence Generation33.1%Aut.
Morphology-to-molecule matching25.4%Aut.

Code

BenchCAD (with Python tool)87.0%Aut.
BenchCAD67.0%Aut.
FrontierSWE V243.8%Aut.

General

GDPval-AA 2.11620.00 / 3000Aut.
Global-MMLU87.8%Aut.

Healthcare

HealthBench Professional (raw)71.0%Aut.
HealthBench Professional64.8%Aut.
HealthBench61.6%Aut.
PhysicianBench43.0%Aut.

Language

MILU87.6%Aut.

Multimodal

OSWorld 2.1 (partial)72.4%Aut.
OSWorld 2.1 (strict)37.1%Aut.

Reasoning

SWE-bench Multilingual83.7%Aut.
SWE-Bench ProPrinceton NLP (2024)64.8%Aut.
FrontierCode 1.1 (Extended)58.4%Aut.
Humanity's Last Exam (with tools)57.4%Aut.
FrontierCode 1.146.4%Aut.
Humanity's Last Exam (no tools, text-only)45.9%Aut.
Terminal-Bench 4.039.2%Aut.
SWE-Bench Multimodal30.7%Aut.
Terminal-Bench-Science 0.120.6%Aut.

Science

LatchBio SingleCellBench56.2%Aut.

Vision

Chartography86.2%Aut.
Chartography (no tools)46.4%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Lcr(Artificial Analysis)
82.7
Scicode(UIUC + Argonne National Lab (2024))
55.0
Hle(Center for AI Safety + Scale AI (2025))
44.4
Intelligence Index(Artificial Analysis)
43.4
Terminalbench V4 0
32.8

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Productivity
100
Agents
100
Reasoning
100
General
100
Language
90
Multimodal
60
Science
60
Healthcare
60
Biology
60
Code
60
Vision
60
Math
50
Tool Calling
30

Tarification

Prix d'entrée$0.1 / 1M tokens
Prix de sortie$0.5 / 1M tokens
Prix mixte (3:1)$0.2 / 1M tokens
Prix de lecture cache$0.01 / 1M tokens
Prix d'écriture cache$0.125 / 1M tokens

Vitesse

Tokens/sec227.9
Délai du premier token292.43s
Temps de réponse292.43s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

1 fournisseurs

FournisseurEntréeSortie
1Anthropic
$0
$0

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes