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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
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 4.8 is an Anthropic Claude multimodal model for long-context reasoning, coding, tool use, and vision understanding.
claude-opus-4.8 is a Multimodal model from Anthropic (US). HotON.ai tracks it at $5.00 per 1M input tokens and $25.00 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 84/100 at an estimated $0.023 per successful task.
claude-opus-4.8 is tracked at $5.00 per 1M input tokens and $25.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $20.00 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
claude-opus-4.8 supports up to a 1000K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, claude-opus-4.8 is cheaper than 5% of models on input price and ranks #483 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-opus-4.8 (Anthropic): $5.00/1M input, $25.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-opus-4-8Pricing 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.