Analysis Summary
Claude Opus 4.7 is Anthropic's flagship model in this listing, with an intelligence index of 55, a coding index of 73.6, and an agentic index of 46.3. It supports vision and file input, tool use, and function calling, with a 1M-token context window. This is a broad capability profile for reasoning, software engineering, and long-context work.
For an agency, it can support coding agents, analysis of large document sets, complex SEO research, and client-facing content where careful instruction following matters. Vision and tool interfaces also make it practical for workflows that combine information gathering with execution. Its substantial strengths make it suitable for high-stakes tasks, while review remains appropriate for consequential outputs.
At $5 per million input tokens and $25 per million output tokens, it is a premium choice. Reserve it for work where depth and reliability justify the cost, and route routine or bulk tasks to less expensive models.
Assessed September 23, 2026
Editorial notes
Claude Opus 4.7 combines frontier reasoning, strong coding, vision, tool calling, and a 1M-token context, making it well suited to complex client work; premium output pricing favors high-value tasks.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Claude Opus 4.7 combines frontier reasoning, strong coding, vision, tool calling, and a 1M-token context, making it well suited to complex client work; premium output pricing favors high-value tasks.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Anthropic: Claude Opus 4.7 compares
Anthropic: Claude Opus 4.7 ranks #24 of 435 AI models we track for overall intelligence, #16 of 198 for coding, #28 of 181 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $5.00 per million input tokens it is cheaper than 5% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $5.00 | $0.005000 |
| Output | $25.00 | $0.025000 |
What would Anthropic: Claude Opus 4.7 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 697 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Anthropic: Claude Opus 4.7 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Anthropic: Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on..
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<a href="https://designforonline.com/ai-models/anthropic-claude-opus-4-7/"><img src="https://designforonline.com/?aiml_badge=anthropic-claude-opus-4-7&theme=dark" alt="Anthropic: Claude Opus 4.7, ranked #24 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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Frequently asked questions about Anthropic: Claude Opus 4.7
How much does Anthropic: Claude Opus 4.7 cost?
Anthropic: Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens.
What is the context window of Anthropic: Claude Opus 4.7?
Anthropic: Claude Opus 4.7 has a context window of 1,000,000 tokens (1M).
Is Anthropic: Claude Opus 4.7 good for coding?
On our coding benchmark index, Anthropic: Claude Opus 4.7 ranks #16 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Anthropic: Claude Opus 4.7 do?
Anthropic: Claude Opus 4.7 supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude Opus 4.7?
Anthropic: Claude Opus 4.7 is developed by Anthropic and was released on April 16, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm