Anthropic: Claude Opus 4.7 (batch)
Analysis Summary
Claude Opus 4.7 is an Anthropic flagship configuration supporting text, image, and file input, vision, tool use, and function calling. Its 1M-token context window is suited to large codebases, long contracts, extensive research, and complex editorial packages. The supplied pricing is premium, particularly for output, which limits its value for routine traffic.
It is a strong operational candidate for difficult software work, agent supervision, long-context analysis, and client-facing content where errors are costly. The batch variant has no separate benchmark record in the supplied data, so measured capability and consistency remain unverified here. Use it for a tightly evaluated pilot on high-value workloads, with economical models covering repetitive tasks.
Assessed August 9, 2026
Editorial notes
Claude Opus 4.7 offers a 1M-token context, vision, file input, tool use, and function calling for complex coding, analysis, and content work. This batch variant has no separate benchmark record, so production reliability must be confirmed directly.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Claude Opus 4.7 offers a 1M-token context, vision, file input, tool use, and function calling for complex coding, analysis, and content work. This batch variant has no separate benchmark record, so production reliability must be confirmed directly.
How Anthropic: Claude Opus 4.7 (batch) compares
Anthropic: Claude Opus 4.7 (batch) ranks #16 of 420 AI models we track for overall intelligence, #11 of 193 for coding, #27 of 175 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 14% 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.
Strongest on intelligence. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 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 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
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..
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 #11 of 193 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.
