Anthropic
Released October 15, 2025

Claude Haiku 4.5

Claude Haiku 4.5 by Anthropic adds extended thinking, context awareness, and computer use to the Haiku line for sub-agent roles and agentic workflows.

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Model Overview

Capabilities, design details, and architectural traits

Claude Haiku 4.5 - First Haiku with Extended Thinking

Claude Haiku 4.5 is a model in Anthropic's 4.5 family. It is the first model in the Haiku line to support extended thinking, context awareness, and computer use - three capabilities previously exclusive to Sonnet and Opus tiers. This makes it a structurally different model from all prior Haiku releases, not just a faster version of the same design.

DifferentiatorDetail
Extended thinking - first for Haiku tierSupports interleaved thinking between tool calls, summarized thinking output, and configurable thinking token budgets; prior Haiku models had no extended thinking mode
Context awarenessReceives real-time token budget updates after each tool call, enabling the model to track remaining context window and avoid premature task abandonment during long-running agent sessions
Computer useSupported for the first time in the Haiku line; Haiku 3.5 did not support computer use
Documented sub-agent roleOfficially positioned for multi-agent systems where a Sonnet model orchestrates and multiple Haiku 4.5 instances execute parallel subtasks
ASL-2 classificationReleased under AI Safety Level 2 - lower than Sonnet 4.5 and Opus 4.1 (ASL-3), reflecting different CBRN risk profile
Drop-in replacement scopeServes as a direct replacement for both Haiku 3.5 and Sonnet 4

Capability Tier Shift Within the Haiku Line

Haiku 4.5 is not an incremental update to Haiku 3.5 - it introduces a new capability baseline for the Haiku class. Extended thinking, context awareness, and computer use each represent features Haiku 3.5 entirely lacked. The combination changes which workloads the Haiku tier can handle without escalating to a larger model, particularly for parallel agent execution and real-time computer-driven tasks.

Benchmark Performance

Independent evaluations · Artificial Analysis

16.9%
Intelligence
43.9%
Coding Index
8.0%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science67.2%
Humanity's Last Exam10.4%
SciCode - Scientific Coding42.2%
Instruction Following54.3%
Long Context Reasoning74.3%
τ²-Bench - Agentic Tasks54.7%
TerminalBench - System Control27.3%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderAnthropicAnthropicAnthropic
Release DateOctober 15, 2025September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window200K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$1
Best Input Pricing
$4$2
Output Pricing
$5
Best Output Pricing
$20$10
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index15.4
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Claude Haiku 4.5
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Claude Haiku 4.5
Humanity's Last Exam
Score: 4%
Claude Haiku 4.5
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

50%
Claude Haiku 4.5
Long Context Reasoning
Score: 50%
Claude Haiku 4.5
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

34%
Claude Haiku 4.5
SciCode Benchmark
Score: 34%
Claude Haiku 4.5
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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