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Model details
Claude Haiku 4.5
Claude Haiku 4.5 is designed as a lightweight powerhouse that brings frontier-level intelligence to resource-constrained environments. Built as a compact version of Anthropic's most capable AI systems, this model prioritizes speed and affordability without sacrificing the coding, reasoning, and computer-use capabilities that once required much larger models. It achieves 73.3% on SWE-bench Verified, a benchmark measuring real-world software engineering performance, positioning it among the world's strongest coding models. The design philosophy centers on making high-level AI assistance practical for applications where latency and cost matter—chat assistants, customer service agents, pair programming tools, and rapid prototyping workflows all benefit from Haiku 4.5's responsive performance.
The model represents a notable shift in what small models can accomplish, delivering performance that rivals previous-generation flagship models at significantly lower operational cost. Its architecture supports multimodal inputs including text, images, and PDFs, while outputting text responses with structured formatting capabilities. Developers integrating Haiku 4.5 gain access to tool calling, temperature control, and reasoning features through platforms like Azure Cognitive Services, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry. For teams building real-time AI applications where responsiveness directly impacts user experience, Haiku 4.5 fills a gap between lightweight models that are fast but limited and larger models that are capable but costly and slower.
Quick Info
Powered by- Provider
- Azure Cognitive Services
- Model key
- claude-haiku-4-5
- Release date
- Nov 18, 2025
- Last updated
- Nov 18, 2025
- Knowledge cutoff
- 2025-02-28
- AI SDK package
@ai-sdk/anthropic- 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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This exact model name is also listed by 40 other providers.