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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 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
claude-opus-4 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 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 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 is cheaper than 2% of models on input price and ranks #524 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 (Anthropic): $15.00/1M input, $75.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/anthropic-claude-opus-4Pricing 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.