Anthropic: Claude Opus 4.7 (batch)
Analysis Summary
Claude Opus 4.7 is Anthropic's Opus model for demanding reasoning, coding, and agentic workflows. The supplied results show strong intelligence and coding capability alongside a substantial agentic result. A 1,000,000-token context, image and file input, vision, and function calling let it work across long documents and tool-supported tasks.
For client workflows, it is a strong candidate for software engineering assistance, multi-step research, and analysis of large briefs or codebases. Its content and vision capabilities also suit work that combines editorial judgment with document review. The available data makes a persuasive case for capable tool use, though teams should still test specific integrations and guardrails before giving an agent broad autonomy.
Pricing is $2.50 per million input tokens and $12.50 per million output tokens. Use it where reasoning depth, coding quality, or long-context work matters more than minimizing token spend.
Assessed September 23, 2026
Editorial notes
Claude Opus 4.7 pairs strong reasoning and coding with agentic capability, vision, tool calling, and a million-token context. Its premium output pricing suits high-value work over bulk traffic.
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 pairs strong reasoning and coding with agentic capability, vision, tool calling, and a million-token context. Its premium output pricing suits high-value work over bulk traffic.
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 (batch) compares
Anthropic: Claude Opus 4.7 (batch) 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 $2.50 per million input tokens it is cheaper than 11% 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 | $2.50 | $0.002500 |
| Output | $12.50 | $0.012500 |
What would Anthropic: Claude Opus 4.7 (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout Anthropic: Claude Opus 4.7 (batch)
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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Frequently asked questions about Anthropic: Claude Opus 4.7 (batch)
How much does Anthropic: Claude Opus 4.7 (batch) cost?
Anthropic: Claude Opus 4.7 (batch) costs $2.50 per million input tokens and $12.50 per million output tokens.
What is the context window of Anthropic: Claude Opus 4.7 (batch)?
Anthropic: Claude Opus 4.7 (batch) has a context window of 1,000,000 tokens (1M).
Is Anthropic: Claude Opus 4.7 (batch) good for coding?
On our coding benchmark index, Anthropic: Claude Opus 4.7 (batch) 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 (batch) do?
Anthropic: Claude Opus 4.7 (batch) supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude Opus 4.7 (batch)?
Anthropic: Claude Opus 4.7 (batch) is developed by Anthropic and was released on April 16, 2026.