models/anthropic/claude-haiku-4-5
A
Anthropic·active

Claude Haiku 4.5

Anthropic's efficiency model. Context window: 200K tokens.

Overall score
4.00
/5.00 · ranked #55
Input
$1.00
per 1M tokens
Output
$5.00
per 1M tokens
Context
200K
tokens
Blended
$4.00
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
4.0
Strategic Analysis
5.0
Constrained Rewriting
3.0
Creative Problem Solving
4.0
Tool Calling
5.0
Faithfulness
5.0
Classification
4.0
Long Context
5.0
Safety Calibration
2.0
Persona Consistency
5.0
Agentic Planning
5.0
Multilingual
5.0
Tabular Data

What you need to know

Claude Haiku 4.5 is built for high-reliability agentic workflows and complex reasoning. It achieves perfect internal scores in strategic analysis, agentic planning, and tool calling, making it an effective engine for autonomous task execution. Its 200K context window is fully utilized, as indicated by a top-tier score in long context processing.

The model provides high-end performance at a mid-tier price point. With a blended cost of $4.00 per million tokens, it delivers capabilities typically reserved for larger models—specifically in faithfulness and multilingual support—without the associated cost of flagship frontier models.

Performance is inconsistent in restrictive tasks. While it excels at planning, it struggles with constrained rewriting and exhibits a significant weakness in safety calibration. Developers should expect less precision when enforcing strict formatting constraints or requiring rigorous safety guardrails.

Use this model for agentic tool use, complex strategic planning, and processing large datasets where faithfulness is critical. Skip this model if your application requires strict adherence to constrained rewriting rules or high-sensitivity safety filtering.

Strengths — Top 3

Strategic Analysis5.0/5.0
Tool Calling5.0/5.0
Faithfulness5.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration2.0/5.0
Constrained Rewriting3.0/5.0
Structured Output4.0/5.0

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