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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 Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
claude-opus-4.1 is a Multimodal model from Anthropic (US). HotON.ai tracks it at $15.00 per 1M input tokens and $75.00 per 1M output tokens, with a 200K-token context window. Its composite efficiency score is 76/100 at an estimated $0.068 per successful task.
claude-opus-4.1 is tracked at $15.00 per 1M input tokens and $75.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $60.00 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
claude-opus-4.1 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-opus-4.1 is cheaper than 2% of models on input price and ranks #520 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 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-opus-4.1 (Anthropic): $15.00/1M input, $75.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-opus-4-1Pricing 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.