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Model details

Claude Haiku 4.5 (2025-10-01) (Anthropic)

Claude Haiku 4.5 sits within Anthropic's Claude Haiku family, positioned as a lighter and more responsive sibling to larger Claude variants while retaining the multimodal and agent-oriented capabilities that define the lineage. The model is intended for production assistant scenarios where latency, cost efficiency, and reliable tool use matter more than maximum reasoning depth, making it well suited to chat assistants, customer-facing workflows, retrieval-augmented generation pipelines, and lightweight coding or data-processing agents. Its design emphasis on speed and economy allows it to serve high-volume traffic patterns while still benefiting from Anthropic's broader alignment, safety, and instruction-following improvements carried over from newer Claude generations.

In practice, Claude Haiku 4.5 is a good fit for teams that want a balance between capability and operating cost: handling routine reasoning, summarization, extraction, and structured-output tasks behind the scenes, while routing the hardest prompts to a larger model. It supports vision and document understanding alongside text, integrates with tool-calling and function-style agent frameworks, and can follow complex system prompts for consistent behavior across long conversations. Organizations building assistants, internal copilots, or automation pipelines often choose a Haiku-tier model to keep per-request costs low without sacrificing the instruction quality and safety posture associated with the Claude family.

LLM Gatewayanthropic/claude-haiku-4-5-20251001claude-haiku

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Provider
LLM Gateway
Model key
anthropic/claude-haiku-4-5-20251001
Release date
Oct 15, 2025
Last updated
Oct 15, 2025
Knowledge cutoff
2025-02-28
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.00
Output token cost
$5.00

Limits

Output tokens
64,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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