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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: anthropic_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
claude-haiku-4.5 is a Multimodal model from Anthropic (US). HotON.ai tracks it at $1.00 per 1M input tokens and $5.00 per 1M output tokens, with a 200K-token context window. Its composite efficiency score is 88/100 at an estimated $0.005 per successful task.
claude-haiku-4.5 is tracked at $1.00 per 1M input tokens and $5.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $4.00 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
claude-haiku-4.5 supports up to a 200K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, claude-haiku-4.5 is cheaper than 28% of models on input price and ranks #375 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — claude-haiku-4.5 (Anthropic): $1.00/1M input, $5.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-haiku-4-5Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.