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Model details

Anthropic: Claude Haiku Latest

Anthropic Claude Haiku Latest sits at the efficient end of the Claude family, designed to deliver strong performance without the compute demands of larger siblings. As a rolling release model that always points to the newest Haiku variant, it evolves over time rather than remaining static. Built with multimodal vision capabilities, it processes text, images, and PDFs, making it suitable for document analysis and mixed-input workflows. Its design prioritizes speed and balanced performance, targeting users who need reliable, high-quality responses in fast-paced environments.

The model carries forward strengths that have made the Haiku tier popular: broad knowledge coverage, solid reasoning abilities, and high-quality output generation. It supports tool calling, attachments, and temperature control, allowing developers to shape responses and chain operations for more complex tasks. This positions it well for developers building AI-powered applications, researchers handling multimodal documents, and teams needing a dependable everyday assistant that stays current as Anthropic refines the Haiku lineage.

Kilo Gateway~anthropic/claude-haiku-latestclaude-haiku

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Provider
Kilo Gateway
Model key
~anthropic/claude-haiku-latest
Release date
Apr 27, 2026
Last updated
Apr 27, 2026
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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CoverageBenchmark

OpenOCR publishes reproducible benchmark evidence for Anthropic's Claude Haiku Latest (model ID anthropic/claude-haiku-latest), achieving an average score of 98.2% character-LCS similarity across 11 documents on the ocr-shared-11-normalized/v2 corpus, with an average latency of 4.6 seconds per document. The benchmark w Per-document results highlight strong OCR performance: a grocery receipt at 99.6%, a café receipt at 99.3%, a handwritten letter at 100.0%, and handwritten notes also at 100.0%. The full corpus is publicly browseable, allowing independent verification of every input image, ground truth, and model transcript. This is a

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