Anthropic Efficient Available in FlowHunt

Claude Haiku 4.5

Claude Haiku 4.5 is a lightweight, fast AI model optimised for cost efficiency and low latency, developed by Anthropic and released in October 2025. It is a proprietary closed-weight model, available through the Anthropic API. It supports a 200K-token context window, adequate for most documents and multi-turn applications.

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Claude Haiku 4.5 was released on October 1, 2025 as Anthropic’s lightweight, high-throughput model for the Claude 4 generation. The Haiku tier is purpose-built for latency-sensitive, high-volume workloads: customer support routing, real-time content moderation, tool-calling in agentic pipelines where inference speed matters more than peak capability, and applications running millions of requests per day where Opus or Sonnet pricing would be prohibitive. Haiku 4.5 supports a 200K-token context window — smaller than the 1M window of the heavier Claude 4 models but sufficient for most document-level tasks and substantially larger than previous-generation Haiku variants.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Efficient peers on the same scale
  • Claude Haiku 4.5this model
  • Qwen3.8-27Bthis model leads on 0 of 3
  • Gemini 3.5 Flash-Litethis model leads on 0 of 1
Verified independent evaluator, counted in the ranking
Coding

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

Claude Haiku 4.5 66.6% Qwen3.8-27B 86.0% Gemini 3.5 Flash-Lite No score
#21of 22 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗

Claude Haiku 4.5 72.2% Qwen3.8-27B 90.5% Gemini 3.5 Flash-Lite 83.8%
#29of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

Claude Haiku 4.5 4.0% Qwen3.8-27B 42.4% Gemini 3.5 Flash-Lite No score
#24of 27 Verified

Strengths and limitations

Strengths

  • Long-context tasks (200K context window)

Limitations

  • Limited public benchmark data — evaluation coverage is still emerging
  • Closed-weight — cannot be self-hosted or fine-tuned on private data

Use it in FlowHunt

Use Claude Haiku 4.5 in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick Claude Haiku 4.5 in the model selector

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About Anthropic San Francisco, CA · Founded 2021 · anthropic.com

Anthropic is an AI safety company founded in 2021 by former OpenAI researchers Dario Amodei and Daniela Amodei, along with a group of colleagues who had led OpenAI's safety and policy teams. The company's stated mission is the responsible development of AI for the long-term benefit of humanity, and its research agenda is defined by that commitment: Constitutional AI (CAI), a technique for training models to be helpful, harmless, and honest through self-critique; mechanistic interpretability, which aims to reverse-engineer what individual neurons and circuits inside large networks actually compute; and scaling science, which tries to predict how model behaviour changes with compute and data. Anthropic publishes this research openly and has become one of the most cited AI safety labs in academic literature. Claude is Anthropic's public model family, named for Claude Shannon, the founder of information theory, and runs from Claude 1 to the Claude 5.5 generation and Claude Fable 5.1. Anthropic operates a commercial API and consumer-facing Claude.ai product, and maintains deep cloud partnerships with AWS (Amazon Bedrock) and Google Cloud (Vertex AI).

anthropic.com ↗

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Frequently asked questions

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