Arena Elo 1500Human-preference rating · LMArena (shown where the model is ranked)
Capabilities
7-day heat trend
−1.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 3% of tracked models
- Faster than 32% of tracked models
- Efficiency rank: #1056 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About claude-opus-4.7
Claude Opus 4.7 is an Anthropic Claude multimodal model for long-context reasoning, coding, tool use, and vision understanding.
claude-opus-4.7 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, ~139 tokens/sec throughput and 98.8% availability. Its composite efficiency score is 84/100 at an estimated $0.023 per successful task.
Compare claude-opus-4.7
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Frequently asked questions
How much does claude-opus-4.7 cost per 1M tokens?+
claude-opus-4.7 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.
What is claude-opus-4.7 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is claude-opus-4.7?+
claude-opus-4.7 delivers about 139 tokens/sec with 98.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is claude-opus-4.7 cheaper than other AI models?+
Within the HotON.ai tracked set, claude-opus-4.7 is cheaper than 3% of models on input price and ranks #1056 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.