ModelFoldclaude-opus-4-5
Claude Opus 4.5 is Anthropic’s most intelligent model, combining maximum capability with practical performance across reasoning, coding, and complex problem solving.
Pricing: Input 356.25 credits / 1M tokens (≈ $1.78), Output 1787.5 credits / 1M tokens (≈ $8.94).
How can I help you today?
Explore more Chat models
More AI models from Anthropic
Latest and popular AI models
Affordable Claude Opus 4.5 API – Claude API for Coding & Agents
Claude Opus 4.5 is Anthropic’s powerful model for coding, agents, and long-context reasoning. On ModelFold, you can access the Claude Opus 4.5 API with affordable pricing and free credits, making it easy to test, build, and scale real AI workflows.
What Is Claude Opus 4.5 API?
Introducing Claude Opus 4.5 by Anthropic
Claude Opus 4.5 API gives developers access to Anthropic’s most advanced Claude model, built for coding, reasoning, and long-running agent workflows. It is designed to handle real software tasks, from debugging and refactoring to research and computer use, and has set new benchmarks in software engineering. On ModelFold, you can use Opus 4.5 API to bring this top-tier Claude intelligence into your own products through a fast, reliable API.
What’s New in Claude Opus 4.5 API on ModelFold
Maximum Intelligence in Anthropic’s Claude Opus 4.5
Claude Opus 4.5 is Anthropic’s most intelligent model to date, combining stronger reasoning, deeper code understanding, and practical problem solving. Compared to Opus 4.1, it shows step-change gains across coding, analysis, and complex workflows.
Advanced Coding with Claude Opus 4.5 API
Claude Opus 4.5 delivers a major leap in real-world coding performance. It leads on SWE-bench Verified and handles multi-file changes, complex debugging, and agentic coding tasks with higher accuracy and fewer failed attempts than earlier Opus models.
Reasoning Improvements in Opus 4.5 API
Claude Opus 4.5 reasons through ambiguity, tradeoffs, and edge cases more effectively than previous versions. With improved planning and the effort control option, it delivers more consistent logic, cleaner solutions, and fewer retries on hard engineering and research tasks.
Longer-Running Agents with Smarter Context Handling
Claude Opus 4.5 API supports longer agent workflows with better context management. On ModelFold, run extended tasks like research, refactors, and tool loops without hitting a wall. Claude Opus 4.5 API summarization keeps progress consistent.
Everyday Tasks with Claude Opus 4.5
Claude Opus 4.5 is meaningfully better at everyday work like spreadsheets, slides, and deep research. It can analyze data, generate presentations, and run long research workflows with higher accuracy and smoother context handling than earlier Opus models.
How to Use Claude Opus 4.5 API on ModelFold
- 1
Step 1: Get Your Claude Opus 4.5 API Key
Sign up or log in to ModelFold, then generate your Claude Opus 4.5 API key from the dashboard. This key gives you access to Anthropic’s Claude Opus API and allows your app to authenticate every Opus 4.5 API request.
- 2
Step 2: Send Requests to Claude Opus 4.5 API
Use the Claude Opus 4.5 API endpoint on ModelFold to send prompts, code, or tasks. You can call the Opus 4.5 API for Claude Opus 4.5 coding, data analysis, or agent workflows using standard HTTP requests.
- ✓
Step 3: Receive and Use Claude Opus 4.5 Responses
ModelFold returns structured Claude API responses that include generated text, code, or tool outputs. You can take results from Claude Opus 4.5 API and plug them directly into your product, automation, or developer workflow.
Claude Opus 4.5 vs Claude Sonnet 4.5 vs Claude Haiku 4.5
Claude 4.5 models are designed for different levels of speed, cost, and intelligence. This table shows how Haiku 4.5, Sonnet 4.5, and Claude Opus 4.5 compare.
| Feature | Claude Sonnet 4.5 | Claude Haiku 4.5 | Claude Opus 4.5 |
|---|---|---|---|
| Description | Smart Claude model built for complex agents and coding tasks | Fastest Claude model with near-frontier intelligence | Premium Claude model combining maximum intelligence with practical performance |
| Best for | SaaS apps, coding, agent workflows | Chatbots, automation, simple tasks | Claude Opus 4.5 coding, deep reasoning, advanced agents |
| Agentic ability | Strong | Basic | Best-in-class |
| Long-running tasks | Medium | Short | Long, multi-step |
| Context handling | Advanced | Standard | Advanced with reasoning memory |
| Response speed | Fast | Fastest | Moderate |
| Output quality | Very good | Good | Highest |
Claude Opus 4.5 vs Gemini 3 Pro
Claude Opus 4.5 and Gemini 3 Pro are both available on ModelFold, giving you access to two of the most advanced AI models through one platform. The comparison below shows how they differ in coding, reasoning, and multimodal capabilities, so you can choose the best option for your workflow.
| Feature | Claude Opus 4.5 | Gemini 3 Pro |
|---|---|---|
| Core focus | Frontier coding, deep reasoning, and long-running agent workflows | Multimodal intelligence, research, and general-purpose AI |
| Coding & logic | Best-in-class for Claude Opus 4.5 coding, refactoring, and complex system debugging | Strong, but more optimized for concise and practical code |
| Long context handling | Excellent at large documents, deep analysis, and multi-step reasoning | Good, but less focused on long-horizon agent tasks |
| Agent workflows | Designed for complex agents, planning, and tool-driven orchestration | Better suited for broad assistant and research workflows |
| Multimodal ability | Text-first, optimized for logic and code | Best for video, image, and UI understanding |
| Output style | Detailed, insightful, and precise | Concise, efficient, and fast |
| Ecosystem integration | Strong for developer tools and AI agents | Deep integration with Google Search and Google tools |
| Best use cases | Advanced software engineering, reasoning, and Claude Opus 4.5 API agents | Multimodal research, UI ideas, and large-scale general AI use |
Claude Opus 4.5 vs GPT-5.2 Codex
Claude Opus 4.5 and GPT-5.2 Codex are two of the strongest coding models available today. Both score around 80% on SWE-bench Verified, which means they can fix real GitHub issues in large codebases. The key difference is how they approach coding, reasoning, and production workflows.
| Feature | Claude Opus 4.5 | GPT-5.2 Codex |
|---|---|---|
| Overall coding performance | Leads SWE-bench Verified with 80.9%, strong on real-world repositories | Very close at 80.0%, state-of-the-art on SWE-bench Pro |
| Code quality | Clean, well-structured, and defensive, designed for long-term maintainability | Concise and fast, but more likely to cause integration or version issues |
| Long-context work | Excellent for large codebases, refactors, and multi-file changes | Very strong, but less focused on long-running agent workflows |
| Agent workflows | Built for agentic coding, planning, and tool-driven orchestration | Strong for fast single-agent coding and rapid iteration |
| Terminal and DevOps | Much stronger command-line and multi-step workflow handling | Good, but less consistent with complex terminal tasks |
| Mathematical reasoning | Very strong, but not top in pure math benchmarks | Best-in-class for math, algorithms, and formal reasoning |
| Output style | More detailed and explanatory, better for reviews and refactoring | Shorter and more direct, better for quick coding |
| Best use cases | Architecture, refactoring, large systems, Claude Opus 4.5 coding, and production agents | Algorithms, fast prototyping, cost-sensitive or math-heavy coding |
Why Choose Claude Opus 4.5 API on ModelFold
Claude Opus 4.5 Free Credits to Test Before You Pay
ModelFold gives you free credits to try Claude Opus 4.5 free before committing. You can test Claude Opus 4.5 API on real coding, reasoning, and agent tasks to see how it fits your workflow, without risk or upfront cost.
Affordable Claude Opus 4.5 API Pricing for Real Workloads
Claude Opus 4.5 API pricing on ModelFold is built to be affordable and flexible, from first tests to large-scale production. You can start small, scale up as your usage grows, and keep predictable costs while using Opus-level Claude API performance for real workloads.
Access Claude API and Other Top LLM APIs
ModelFold gives you more than Claude Opus 4.5 API. You can also use Gemini 3 Pro, GPT-5.2, and other top models through one platform. This lets you combine Claude Opus API with other best LLM APIs to build faster, smarter, and more flexible AI products.
Frequently Asked Questions
What is Claude Opus 4.5 API?⌄
Claude Opus 4.5 API is Anthropic’s advanced Claude API for coding, reasoning, and long-running agents. It gives developers access to Opus-level intelligence for complex software and automation tasks.
How do I get a Claude Opus 4.5 API key?⌄
You can get a Claude Opus 4.5 API key by creating an account on ModelFold and generating one from the dashboard. Once created, you can use that key to call the Claude Opus API in your application.
Is Claude Opus 4.5 API good for coding?⌄
Yes. Claude Opus 4.5 coding is designed for real-world software work, including debugging, refactoring, and multi-file changes.
How does Claude Opus 4.5 differ from Sonnet 4.5 and Haiku 4.5?⌄
Claude Opus API provides the highest level of reasoning and coding performance. Sonnet and Haiku are faster and cheaper, but Opus 4.5 API is built for complex logic, deep analysis, and advanced agent workflows.
How does Claude Opus 4.5 compare to Gemini 3 Pro?⌄
Claude Opus 4.5 is stronger for deep coding, reasoning, and long-running agents, while Gemini 3 Pro is better for multimodal tasks like images, video, and UI-focused workflows.
How does Claude Opus 4.5 compare to GPT-5.2 Codex?⌄
Claude Opus 4.5 focuses on clean architecture, long-context understanding, and agentic coding, while GPT-5.2 Codex is faster and strong at algorithms and math-heavy tasks.
How to access Claude 4 Opus for free?⌄
ModelFold offers free credits so you can try Claude Opus 4.5 free before committing to a paid plan and test it on your own prompts and projects.
| Input | 356.25 credits 1M tokens≈ $1.78 |
| Output | 1787.5 credits 1M tokens≈ $8.94 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →curl https://ai.modelfold.online/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"claude-opus-4-5","messages":[{"role":"user","content":"Hello"}]}'