Analysis Summary
Claude Opus 5 is Anthropic's flagship model for advanced reasoning, software engineering, and agentic work. It pairs the highest measured intelligence and coding capability in this batch with strong agentic performance, a million-token context window, vision, file input, tool use, and function calling.
That combination suits autonomous coding agents, complex research, long-contract analysis, strategic content, and customer-facing workflows where errors are expensive. The model can hold large codebases or document sets in context while coordinating external actions. Its main limitation is cost, with $5 input and $25 output pricing, so it should not handle undifferentiated bulk traffic.
Adopt Opus 5 for high-stakes client work and complex automation. Route routine drafting and high-volume classification to a cheaper companion model.
Assessed August 9, 2026
Editorial notes
Claude Opus 5 combines frontier reasoning and coding with strong agentic capability, a million-token context, vision, file handling, and tool integration for demanding client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Claude Opus 5 combines frontier reasoning and coding with strong agentic capability, a million-token context, vision, file handling, and tool integration for demanding client workflows.
How Claude Opus 5 compares
Claude Opus 5 ranks #2 of 425 AI models we track for overall intelligence, #3 of 198 for coding, #7 of 180 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 7% 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 business fit. The pulled-in value 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 | $5.00 | $0.005000 |
| Output | $25.00 | $0.025000 |
What would Claude Opus 5 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 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Claude Opus 5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Claude Opus 5
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis..
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<a href="https://designforonline.com/ai-models/claude-opus-5/"><img src="https://designforonline.com/?aiml_badge=claude-opus-5&theme=dark" alt="Claude Opus 5, ranked #1 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/claude-opus-5/"><img src="https://designforonline.com/?aiml_badge=claude-opus-5&theme=light" alt="Claude Opus 5, ranked #1 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Claude Opus 5
How much does Claude Opus 5 cost?
Claude Opus 5 costs $5.00 per million input tokens and $25.00 per million output tokens.
What is the context window of Claude Opus 5?
Claude Opus 5 has a context window of 1,000,000 tokens (1M).
Is Claude Opus 5 good for coding?
On our coding benchmark index, Claude Opus 5 ranks #3 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Claude Opus 5 do?
Claude Opus 5 supports image/vision input, tool use, and function calling.
Who created Claude Opus 5?
Claude Opus 5 is developed by Anthropic and was released on July 24, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 17, 2026 8:38 pm