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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
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and...
claude-3.7-sonnet:thinking is a Reasoning model from Anthropic (US). HotON.ai tracks it at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with a 200K-token context window. Its composite efficiency score is 83/100 at an estimated $0.014 per successful task.
claude-3.7-sonnet:thinking is tracked at $3.00 per 1M input tokens and $15.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $12.00 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
claude-3.7-sonnet:thinking 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-3.7-sonnet:thinking is cheaper than 9% of models on input price and ranks #492 of 535 by overall efficiency.
Yes — qwen-plus-2025-07-28:thinking is a lower-cost option at $0.78 per 1M output tokens, while still covering similar Reasoning use cases. Compare them side by side on HotON.ai.
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HotON.ai — claude-3.7-sonnet:thinking (Anthropic): $3.00/1M input, $15.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-3-7-sonnet-thinkingPricing 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.