Assistant
Discuss documents, code, decisions and ideas in a familiar chat. This works best when you want a fast dialogue and direct control over each step.
Open chatFlagship model · Anthropic
Anthropic's July 24, 2026 model offers a context window of up to 1 million units. Use it in Assistant, delegate multi-step work in Agent mode, or connect through the API and remote MCP.
Official model identifier: claude-opus-5
claude-opus-5Agent mode is workingReview the attached service architecture and incident log. Find recurring causes of failure, propose the top three fixes, and prepare a rollout plan with checks and rollback steps.
Extracts components, dependencies, constraints and the incident timeline from the attached materials.
Maps recurring symptoms to architecture decisions and flags areas where the evidence is incomplete.
Compares fixes by impact, effort, risk and the ability to roll back safely.
Produces a prioritized plan, acceptance criteria and questions that require human confirmation.
A concise root-cause summary, a priority table and a staged rollout plan with measurable checks and a rollback path.
Short answer
Claude Opus 5 is Anthropic's flagship model released on July 24, 2026. It is designed for complex reasoning, coding, image understanding and tool use, and is available on Clipia under the claude-opus-5 identifier.
Four ways to run it
Choose a direct conversation, multi-step execution, a programmatic integration or access from an MCP client.
Discuss documents, code, decisions and ideas in a familiar chat. This works best when you want a fast dialogue and direct control over each step.
Open chatDelegate compound tasks: the model can plan the work and call available built-in Clipia tools within the same session.
Start an agentAdd claude-opus-5 to a product, internal service or automation and control system instructions, context and tools in code.
View the APIConnect the Clipia remote MCP to a compatible client and call the chat tool with the claude-opus-5 model identifier.
Set up MCPCapabilities
Claude Opus 5 combines a large context window with reasoning, visual understanding, coding and tool use.
Breaks an ambiguous problem into stages, reconciles constraints and explains the logic behind a conclusion.
Analysis and decisionsHelps inspect code, design changes, identify defects and prepare fixes that can be tested.
Code, tests and architectureInterprets supported visual material alongside written instructions and task context.
VisionCan select and call available functions when the interface supplies their definitions and permits their use.
Tools and agentsAccepts large documents, specifications and repository excerpts within the available context window.
Long materialsCreates reviews, plans, requirements and other deliverables with a requested structure and quality criteria.
From analysis to actionPractical use cases
The model is especially useful when a task requires many connected details, explicit constraints and an actionable result.
Inspect architecture, uncover hidden coupling and prepare a safe sequence of changes.
Analyze the project structure, find the three main sources of coupling and propose a staged separation plan with tests.
Combine multiple materials into conclusions while exposing contradictions and evidence gaps.
Compare the attached reports, separate confirmed facts from assumptions and build a map of unresolved questions.
Summarize long specifications, requirements and internal policies without dropping important exceptions.
Extract mandatory requirements, exceptions and owners, then create a launch checklist.
Plan multi-step work and call available tools with intermediate checks.
Plan the task, use available tools only when necessary and request confirmation before irreversible actions.
Compare options by constraints, cost of error, dependency on assumptions and reversibility.
Compare three options by impact, risk, implementation cost and reversibility. Show which new evidence would change the decision.
Analyze images and written criteria together to find discrepancies or extract details.
Review the attached image against the requirements, list each mismatch and state your confidence.
Specifications
Native model capabilities and the current connection limits are shown separately to set accurate expectations.
Generation comparison
Opus 5 is the current flagship for new complex work; Opus 4.8 remains a sensible compatibility choice for workflows you have already validated.
| Generation comparison | Claude Opus 5 | Claude Opus 4.8 |
|---|---|---|
| Generation | Current flagship | Previous generation |
| Opus 5 release | July 24, 2026 | Released before Opus 5 |
| Opus 5 context | Up to 1,000,000 units | Check the active Opus 4.8 profile |
| For new work | First candidate for complex analysis and code | Useful when quality is already proven on your evaluation set |
| For existing workflows | Validate before replacing the model | Fewer changes to an established process |
| Choose it when | You want the newest flagship capabilities | Consistency with current results matters most |
A newer generation does not guarantee a better result for every prompt. Before migration, compare both models on your own examples, quality rubric, latency and cost.
Clipia pricing
Assistant offers a simple per-message estimate, while the API meters the actual input and output volume.
An estimate for a regular message. The Clipia interface displays the final charge.
per 1 million text units
Examples use rates of ₽400 for input and ₽2,000 for output per 1 million text units. Actual cost depends on the request and response volume.
For developers
Set model to claude-opus-5, pass your messages and optionally include tools available to your application.
Clipia AI Gatewayhttps://api.clipia.ai/v1
pythonfrom openai import OpenAI
import os
client = OpenAI(
base_url="https://api.clipia.ai/v1",
api_key=os.environ["CLIPIA_API_KEY"],
)
response = client.chat.completions.create(
model="claude-opus-5",
messages=[{"role": "user", "content": "Review the attached service architecture and incident log. Find recurring causes of failure, propose the top three fixes, and prepare a rollout plan with checks and rollback steps."}],
max_tokens=2048,
)
print(response.choices[0].message.content)typescriptimport OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.clipia.ai/v1",
apiKey: process.env.CLIPIA_API_KEY,
});
const response = await client.chat.completions.create({
model: "claude-opus-5",
messages: [{ role: "user", content: "Review the attached service architecture and incident log. Find recurring causes of failure, propose the top three fixes, and prepare a rollout plan with checks and rollback steps." }],
max_tokens: 2048,
});
console.log(response.choices[0].message.content);bashcurl https://api.clipia.ai/v1/chat/completions \
-H "Authorization: Bearer $CLIPIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-5",
"messages": [{"role": "user", "content": "Analyze the task and return an action plan."}],
"max_tokens": 2048,
"stream": false
}'Remote MCP
The Clipia remote MCP exposes a chat tool. Pass the model identifier and your task from a compatible client.
Add the Clipia remote MCP to a compatible client and authenticate with your key.
Call the chat tool and set model to claude-opus-5.
Add your instructions and relevant context, then review the result before using it.
The MCP chat tool sends a request to the selected model. Assistant's built-in Agent tools are a separate capability; available actions depend on the interface and your permissions.
Open MCP documentationtools/call{
"name": "chat",
"arguments": {
"model": "claude-opus-5",
"prompt": "Use the chat tool with model claude-opus-5. Review this migration plan, identify risks and return a prioritized verification checklist.",
"max_tokens": 2048,
"idempotency_key": "model-landing:claude-opus-5:example-1"
}
}Getting started
Four steps help you choose the right interface, avoid unnecessary context and obtain a result you can verify.
Use Assistant for dialogue, Agent for a compound task, the API for a product and MCP for a compatible client.
Include only relevant materials and state the source of truth, constraints and desired output format.
Choose Claude Opus 5 in the interface or pass claude-opus-5 through the API or MCP.
Confirm factual claims, run proposed tests and keep a human responsible for important or irreversible decisions.
Who it is for
The model makes sense when the cost of missing a constraint is higher than the difference in request price.
Questions and answers
Concise answers about access methods, pricing, context, files, tools and limits.
Claude Opus 5 is Anthropic's July 24, 2026 flagship model for complex reasoning, coding, image understanding and tool use. Its Clipia identifier is claude-opus-5.
Open Clipia AI Chat, select Claude Opus 5 and send your task with the necessary context. A regular message costs approximately 2 credits, and the interface shows the final charge.
In regular chat, you direct the conversation step by step. In Agent mode, the model can plan a compound task and call available built-in Clipia tools; exact actions depend on the interface and your permissions.
Create a Clipia key, use the supported chat endpoint and set model to claude-opus-5. API input costs ₽400 and output costs ₽2,000 per 1 million text units.
Connect the Clipia remote MCP to a compatible client, call the chat tool and set model to claude-opus-5. The MCP chat tool and Assistant's built-in Agent tools are separate capabilities.
Opus 5 is the current generation and the primary candidate for new complex work. Opus 4.8 is useful as a proven baseline for existing workflows; compare both models on your own examples before migrating.
Assistant pricing is approximately 2 credits per message. Through the API, the rate is ₽400 per 1 million input text units and ₽2,000 per 1 million output text units.
The model supports up to 1,000,000 context units. The usable amount also depends on system instructions, request format and the limits of your chosen interface.
Claude Opus 5 supports image understanding. In Assistant, you can attach supported images and documents; available formats and size limits depend on the current interface.
Yes. The model supports tool use. Agent mode can access built-in Clipia tools, while an API application can supply its own function definitions and usage rules.
Claude Opus 5 has a native output limit of 128,000 text units, but the current Clipia profile caps one response at 8,192. Split a large deliverable into sections or ask the model to continue.
Choose Opus 5 for complex code, long context, ambiguous decisions and agentic workflows. A faster model is often more economical for short classification, simple extraction or high-volume routine requests.
You may include outputs in commercial workflows subject to the Clipia terms, your rights to the source material and applicable law. Independently review legally significant or high-risk uses.
Continue
Explore a faster model, start a chat, or connect Clipia to your application and MCP client.
Google's fast multimodal model with more than 1 million context units and lower API pricing.
View Gemini 3.6 FlashClaude Opus 5 on Clipia
Start a conversation in Assistant or connect claude-opus-5 to your product through the API.