Anthropic launches new high-performance AI model on July 24, 2026 Claude Opus 5has been made public.
This model is not just an update with a slightly more accurate answer. Plan complex tasks, check intermediate results on your own, and correct problems if they remain. Ability to work long hoursThis has been greatly enhanced.
Especially if you frequently entrust tasks that don't end with a single answer, such as coding, data analysis, and work automation, it's worth noting.
So what makes the Claude Opus 5 different from the original Opus 4.8 or Sonnet 5, and who needs it in practice?
| Claude Opus 5
Claude has the Sonnet family, which is great for fast and economical tasks, and the Opus family, which focuses on complex reasoning.
This Opus 5 occupies the position of a high-performance model that can be used on a daily basis. Anthropic is our top model, Performance close to Fable 5 at half API priceI'm explaining that it's provided by.
Claude Max comes with a new base model, and Claude Pro comes with the most powerful model to choose from. It's also available on all major platforms, including the Claude web and apps, Claude Code, and APIs.
In other words, rather than an experimental model used by only a few researchers, it is more like a model designed for ordinary users and developers to put into actual work.
| Revalidate Skill
The existing AI model sometimes did not sufficiently check whether the problem was actually solved after creating a seemingly plausible answer.
Claude Opus 5 focused on improving this area. Before you start working, make a plan, validate the results, Enhances the ability to re-correct errors or omissions if they are foundThat's it.
For example, Instead of just eliminating the symptoms that appear on the screen when fixing program errors, it's a way to find the cause of the problem, fix it, and test it all the way through the code.Hey. Even when creating a report or presentation material, it doesn't stop at generating drafts, but has the strength to identify contradictions and omissions in the contents and refine the results.
This difference may not be felt much in a short question. On the contrary, for complex tasks where multiple files and conditions need to be handled together, The completeness of the resultYou can control.
| Data analysis and automation
published by Anthropic Self-evaluation In the results, Opus 5 Areas of software development and knowledge work, computer operation, and task automationshowed a big improvement in.
Frontier-Bench, which evaluates software work, says it has more than doubled its performance while lowering its cost-per-work than its predecessor, Opus 4.8. Zapier AutomationBench, which measures the actual ability to automate work, also reported a pass rate that was about 1.5 times higher than the next model based on the same job cost.
OSWorld 2.0, which measured the ability to manipulate computer screens directly, also showed high cost-performance. It focuses in particular on the agent-type task of reading the file, executing the program, and then checking the result.
However, it is important to remember that these figures are the result of the evaluation published by Anthropic. Rather than asserting that all actual work shows the same difference, I prefer to view it as data that shows the direction of improvement in complex long-term work.
| 1M Tokens
Opus 5 Context window of up to 1 million tokens and maximum output of 128,000 tokensSupport.
It's easy to think of the context pane as the range of information that AI can read and remember in a single operation. The wider the scope, the more you can reference multiple long documents, large codes, and many conversation logs at once.
Even when chatting on a paid Claude plan, Opus 5 and Sonnet 5 support a million token context. Useful for comparing long reports, analyzing code for large projects, or creating long deliverables from data.
Of course, putting in a lot of data doesn't automatically improve the results. It is necessary to inform the analysis criteria and the desired output format in order to properly utilize the long context.
Total
The price of Claude Opus 5 based on the API is $5 per input 1 million tokens and $25 per output 1 million tokensHey. Same price as previous Opus 4.8Wow.
In comparison, Sonnet 5 will have a $2 input and $10 output launch price by August 31, 2026, after which it will be $3 and $15, respectively. The top Fable 5 is $10 in input and $50 in output, which is twice as much as the Opus 5.
There is also a Fast mode that increases the output generation speed up to about 2.5 times, but it is currently a research preview and costs twice as much as the default mode at $10 per million input tokens and $50 per million output tokens. Claude API requires separate access and Bedrock · Google Cloud · Microsoft Foundry does not yet support it.
After all, Opus 5 is a model that always stays on. Efficient to choose based on task difficultyHey, it doesn't make sense to use Opus 5 for simple translations, summaries, or organizing ideas in Sonnet 5, and only for complex analysis, coding, and long hours of work.
Grammatical conjugation
If you're on a paid plan on Claude's website or app, you can choose Opus 5 from the model selection menu. It's the basic model in Claude Max, and in Claude Pro, you can choose the task that requires the highest performance.
To see the benefits of Opus 5, I prefer to leave requests with materials, conditions, and a review process rather than simple questions.
For example, when analyzing multiple data, you can ask:
"
Analyze all the attached data and summarize the key claims, reasons, conflicts, and additional facts that need to be verified in a table. First, make an analysis plan, draft it, and then review the omission and contradiction once more to show only the final result.
"
And when you create or edit a program, instead of just saying what you want, together to the test condition It's good to give.
"
Please reproduce the error in this project and find the root cause and fix it. Please fix it, run the related test, and make sure there are no problems with other functions. At the end, sort the causes, changes, and verification results.
"
The key is not to finish ’make something’, but to plan, validate, and then ask for the process to be completed.
Recommend to these people
Claude Opus 5 is a good fit for someone who often does the following:
A person who needs to compare multiple documents and data at once
A person who entrusts AI with complex program development or debugging
Want to complete reports and presentations from draft to review?
A person using an AI agent who has a long history of working in multiple stages
A person who values the process of accurate judgment and verification over quick replies
> At the end of the day, what matters is choosing tasks over models.
The point of Claude Opus 5 is not to give longer answers to every question. The ability to break down complex goals into stages and check that the work is done correctly has been strengthened.
It's definitely an attractive option for long document analysis, coding, research, automation, and other things that you have to double-check when you fail. On the other hand, faster and cheaper Sonnet 5 can be practical for everyday conversation and light productivity tasks.
In the future, when choosing an AI model, we will simply ask, ‘Is it the strongest model? Do I really need this much performance for this task?’ I think it's more important to think about it first.
Thank you for reading today!
The hot weather has been going on lately, so I hope you will drink cool water often and have a healthy summer!!
References
Claude #Claude #ClaudeOpus5 # Claude Opus 5 # Anthropic #Generative AI #AI Model # AITools #Work Automation #AI Coding # Productivity tools #IT News
