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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 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic...
claude-3.5-haiku is a Multimodal model from Anthropic (US). HotON.ai tracks it at $0.80 per 1M input tokens and $4.00 per 1M output tokens, with a 200K-token context window. Its composite efficiency score is 88/100 at an estimated $0.004 per successful task.
claude-3.5-haiku is tracked at $0.80 per 1M input tokens and $4.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $3.20 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
claude-3.5-haiku 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-3.5-haiku is cheaper than 35% of models on input price and ranks #386 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 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-3.5-haiku (Anthropic): $0.80/1M input, $4.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-3-5-haikuPricing 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.