ModelFoldclaude-opus-5-5
Claude Opus 5.5 is Anthropic's first model in the Claude 5.5 family, delivering frontier-level performance in agentic coding, computer use, and knowledge work. With faster output, clearer communication, and significantly improved computational efficiency, it brings advanced intelligence to demanding, multi-step tasks.
Pricing: Input 400 credits / 1M tokens (≈ $2.00), Output 2000 credits / 1M tokens (≈ $10.00).
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Claude Opus 5.5 API: Stronger Coding, Smarter Agents, Less Overhead
Bring frontier-level intelligence to your applications with Claude Opus 5.5 API on ModelFold. Take on demanding coding tasks, complex reasoning, and knowledge-intensive workflows with faster output, improved efficiency, and more natural communication.
More Intelligence, Less Overhead with Claude Opus 5.5 API
Claude Opus 5.5 is the first model in Anthropic's Claude 5.5 family, delivering frontier-level performance in agentic coding, computer use, and complex knowledge work. With faster output, greater computational efficiency, and clearer communication, it brings significant improvements over Opus 5. Explore its core capabilities below, and check ModelFold's Claude Opus 5.5 API documentation for the specific functionality available through our platform.
Claude Opus 5.5 API Takes On Complex Coding Challenges
From codebase-wide migrations to large-scale audits and performance optimization, Claude Opus 5.5 API handles demanding software engineering tasks with stronger agentic coding capabilities. It can identify inefficiencies, debug complex issues, and work across extensive codebases while maintaining consistency throughout longer development tasks. Improved reasoning efficiency and reduced token consumption also help it complete complex coding work with fewer unnecessary steps.
Smarter Computer Use with Opus 5.5 API
Navigating complex digital environments requires more than following individual instructions. Opus 5.5 API demonstrates stronger computer-use performance, with improvements in handling multi-step tasks, interpreting interface context, and working through complex software interactions. These advances make the model particularly relevant to AI agents designed for more sophisticated computer-based workflows.
Anthropic Claude Opus 5.5 API Brings Deeper Intelligence to Knowledge Work
Research, financial analysis, and business reporting often involve connecting information across multiple sources and turning complex findings into actionable insights. Anthropic Claude Opus 5.5 API brings advanced reasoning to these knowledge-intensive tasks, producing structured reports and analytical outputs while maintaining focus on the original objectives. Its stronger performance on professional knowledge-work benchmarks reflects improved capabilities in demanding, multi-stage analytical work.
Lower Workload Costs with Claude Opus 5.5 API
Running advanced reasoning and extended agentic workflows becomes more economical with Claude Opus 5.5 API. According to Anthropic's testing, typical workloads cost approximately 40% less than Opus 5 at default settings, thanks to lower token prices and reduced token consumption per task. This improvement delivers greater computational efficiency without sacrificing the frontier-level performance required for complex work.
Faster Output, Clearer Responses from Opus 5.5 API
Speed and communication both improve with Opus 5.5 API, which generates output more than 30% faster than Opus 5 while delivering clearer, more natural responses. Important information appears earlier, writing instructions are followed more consistently, and unnecessary complexity is reduced. These refinements make technical explanations, research summaries, and extended working sessions easier to follow and review.
Stronger Alignment Across Anthropic Opus 5.5 API Workflows
In Anthropic's alignment evaluations, Opus 5.5 demonstrates improved resistance to prompt injection and a lower tendency to take difficult-to-reverse actions or cross defined operational boundaries. Anthropic Opus 5.5 API also benefits from the model's additional safeguards, supporting more controlled behavior during complex, long-running tasks. These improvements strengthen the model's suitability for agentic workflows that require clear behavioral boundaries, while remaining subject to the limitations of its safeguards.
Claude Opus 5.5 Benchmarks: Performance Across Leading AI Models
Claude Opus 5.5 demonstrates strong performance across agentic coding, computer use, knowledge work, and multidisciplinary reasoning. Anthropic's published evaluations highlight its improvements over Opus 5, with competitive results against Claude Fable 5.1, GPT-6 Astra, and GPT-5.6 Sol. Explore the Claude Opus 5.5 benchmarks below to see how these models compare across demanding technical and professional tasks.
| Benchmark | Claude Opus 5.5 | Claude Fable 5.1 | Claude Opus 5 | GPT-6 Astra | GPT-5.6 Sol |
|---|---|---|---|---|---|
| Agentic coding — Terminal-Bench 4.0¹ | 66.4% | 55.8% | 52.3% | 57.9% | 37.3% |
| Agentic coding — FrontierCode v1.1 (Main) | 54.4% | 50.3% | 48.0% | 53.3% | 47.5% |
| Agentic coding — CursorBench 4.0 | 57.8% | 51.8% | 46.6% | — | 41.7% |
| Knowledge work — GDPval-AA v2.1 | 1846 | 1735 | 1708 | 1542 | 1588 |
| Business workflows — AutomationBench² | 40.0% | 31.4% | 26.9% | 41.4% | 28.8% |
| Multidisciplinary reasoning — Humanity’s Last Exam | 67.7% with tools | 65.6% with tools | 63.6% with tools | 57.2% with tools | — |
| Agentic scientific research — Terminal-Bench-Science 0.1³ | 58.7% | 52.6% | 29.0% | 64.6% | 22.4% |
| Computer use — OSWorld 2.0 | 81.8% partial | 80.7% partial | 74.0% partial | — | — |
| Visual chart recognition — Chartography | 89.0% with tools | 88.4% with tools | 83.4% with tools | — | — |
How Claude Opus 5.5 Measures Up Against Other Leading AI Models
Different AI models can approach the same creative challenge in surprisingly different ways, from the level of visual detail they produce to the features they bring into a finished experience. Through three practical demonstrations, we explore how Claude Opus 5.5 compares with Opus 5, GPT-6 Astra, and Kimi K3 across interactive world-building, cinematic storytelling, and flight simulation. Each comparison offers a closer look at the models' creative approaches, implementation capabilities, and execution costs, revealing what distinguishes their results beyond benchmark scores.
Claude Opus 5.5 vs. Opus 5: A More Immersive Interactive World
From a simple volcanic island to a richly detailed ecosystem, Claude Opus 5.5 demonstrates a striking improvement in visual complexity. While Opus 5 creates a charming low-poly landscape with roaming dinosaurs, Claude Opus 5.5 introduces a layered underwater environment, diverse wildlife, dense vegetation, and a vibrant northern lights backdrop. The result offers greater depth and more details to explore. In this demonstration, Opus 5 costs $1.60 compared with $3.40 for Opus 5.5, reflecting the higher execution cost of the more elaborate result in this particular test.
Two Cinematic Perspectives: Claude Opus 5.5 vs. GPT-6 Astra
A rocket launch reveals two distinct approaches to cinematic storytelling. Claude Opus 5.5 emphasizes dramatic engine exhaust, dynamic close-up shots, and the intensity of a rocket in flight. GPT-6 Astra takes a broader approach, depicting a coastal spaceport, booster return, and satellite deployment in a more comprehensive sequence. Both deliver visually compelling results, although Astra used the Opus-generated video as a reference rather than the exact same prompt, making this a comparison of creative outputs rather than a controlled benchmark.
Opus 5.5 vs. Kimi K3: Flight Simulation and Execution Efficiency
Given the same flight simulator prompt, Claude Opus 5.5 and Kimi K3 both produce smooth interactive experiences without noticeable jitter. Opus 5.5 delivers a more elaborate cockpit interface with multiple camera perspectives and voice integration, while Kimi K3 focuses on essential simulation functionality, including STALL and SINK RATE alerts. Although the Opus 5.5 result offers additional features and visual refinement, Kimi K3 achieves a functional simulation at a lower reported execution cost, illustrating different approaches to balancing complexity, functionality, and efficiency.
How to Get Started with Claude Opus 5.5 API on ModelFold
Bring Claude Opus 5.5 API into your development workflow with a straightforward setup process. From creating your API key to configuring requests and integrating the model into your application, ModelFold provides the resources you need to get started. Follow these three steps to begin building with the features supported by ModelFold.
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Step 1: Create Your ModelFold Account and Get Claude Opus 5.5 API Key
Sign up or log in to ModelFold and access your dashboard to generate Claude Opus 5.5 API key. This key authenticates your requests and allows you to access Claude Opus 5.5 API through your account. Keep your credentials secure and check your available balance before getting started.
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Step 2: Explore the Anthropic Claude Opus 5.5 API Documentation
Find Anthropic Claude Opus 5.5 API in ModelFold's model library and open its documentation. Review the available endpoint, model identifier, request parameters, and supported features to understand how to configure your integration.
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Step 3: Make Your First Request with Opus 5.5 API
Connect Opus 5.5 API to your application using the documented endpoint and your API key. Submit a prompt, configure the supported parameters, and process the returned response. Once your integration is working, you can begin developing coding assistants, research tools, and other AI-powered applications around the functionality available through ModelFold.
What You Can Build with Claude Opus 5.5 API
From interactive games and cinematic animations to detailed 3D environments, Claude Opus 5.5 is inspiring a wide range of creative experiments. Developers and creators on X (formerly Twitter) have shared impressive demonstrations of the model's coding, visual design, and multi-step execution capabilities. Explore five standout examples that showcase what Claude Opus 5.5 can bring to life, from JavaScript-driven animations to fully interactive browser experiences. For specific API functionality and integration options, refer to ModelFold's Claude Opus 5.5 API documentation.
Create Frame-by-Frame Visual Animation with Claude Opus 5.5 API
One compelling Claude Opus 5.5 API use case is JavaScript-driven animation generation. In the demonstrated example, Claude Opus 5.5 builds a scene frame by frame in code, beginning with an empty canvas that quickly fills with pencil-like sketch lines of a coastal cliff and tree, then transforming that drawing into a vibrant ocean painting with waves and sunset light. This shows how Anthropic Claude Opus 5.5 API can be used for procedural visual storytelling, browser animation experiments, and code-based creative rendering workflows.
Build Playable Browser Games with Anthropic Claude Opus 5.5 API
For interactive game creation, Anthropic Claude Opus 5.5 API can help generate rich browser-based experiences from a single concept. In the Minecraft-style test, Opus 5.5 creates a fully playable voxel sandbox world called “Lumen Vale,” complete with environmental variety and smooth interaction. The demo includes realistic-looking water, sandy beaches with glass blocks and torches, snowy pine-covered mountains, and a desert island filled with cacti. As an Opus 5.5 API use case, this highlights its potential for prototyping playable worlds, simulation environments, and browser-native game concepts.
Generate Claymation Concepts from a Single Prompt with Opus 5.5 API
Another striking Opus 5.5 API use case is single-prompt 3D animation ideation. In the claymation example, Claude Opus 5.5 uses Blender to produce a polished stop-motion-style sequence in which a round clay ball with eyes morphs into a star-shaped Claude mark inside a scene labeled “Clay Spark.” With realistic lighting, desk objects, and soft background bokeh, the result shows how Claude Opus 5.5 API can support concept development for animated shorts, stylized product visuals, and 3D creative experiments with a much lower production barrier.
Turn Architectural Ideas into Interactive 3D Progressions with Claude Opus 5.5 API
When a project needs structured visual transformation, Claude Opus 5.5 API can help generate interactive 3D presentation experiences. The “Courtyard House” demonstration uses Three.js and TSL to move a design through four stages with a slider-based interface, starting from sketch lines, progressing to a massing model, then a detailed interior model, and finally a realistic built environment with wood textures, landscaping, and a pool. This use case shows how Anthropic Claude Opus 5.5 API can be applied to architectural visualization, design communication, and interactive concept presentation.
Produce Imaginative 2D Motion Graphics with Anthropic Opus 5.5 API
Beyond 3D and gameplay, Anthropic Opus 5.5 API also lends itself to highly creative 2D motion design. In the featured sequence, a simple orange blocky character becomes the starting point for a fast-moving visual journey through neurons, prisms, rainbows, DNA, sunflowers, black holes, and a rocket launch seen from the lunar surface. The pacing and scene transitions make the result feel dynamic and cohesive, showing how Claude Opus 5.5 API can be used for explainer-style visuals, creative motion graphics, educational storytelling, and concept-driven animated sequences.
Why Choose ModelFold for Claude Opus 5.5 API
Claude Opus 5.5 on ModelFold is called through POST https://ai.modelfold.online/v1/chat/completions with the model claude-opus-5-5. Each point below reflects how the ModelFold API works today.
One OpenAI-Compatible Endpoint
Send model claude-opus-5-5 to POST https://ai.modelfold.online/v1/chat/completions with Authorization: Bearer YOUR_API_KEY and an OpenAI-style messages array. Any HTTP client or OpenAI-compatible SDK works. Input and output token pricing is shown in the pricing section above.
Simple Request and Response Format
Each request carries the model id, your messages and an optional max_tokens. The response returns the assistant message in choices[0].message.content together with token usage and the credits charged, so cost tracking needs no extra calls.
Try Thinking Mode in the Playground
The Playground on this page lets you switch thinking on for Claude Opus 5.5 and compare answers before you integrate. It is billed per token from your wallet, exactly like the API.
Other Claude Models on the Same Endpoint
Claude Opus 5, Claude Opus 4.8 and Claude Sonnet 5.5 use the same /v1/chat/completions endpoint with their own model ids, and GET https://ai.modelfold.online/v1/models lists every model id your key can use.
Frequently Asked Questions About Claude Opus 5.5 API
What is Claude Opus 5.5?⌄
Claude Opus 5.5 is the first model in Anthropic's Claude 5.5 family, designed for demanding coding, computer use, and knowledge-intensive tasks. It delivers performance comparable to Claude Fable 5.1 on most work while improving speed, computational efficiency, and communication. Developers can use Claude Opus 5.5 API to bring its supported capabilities into AI-powered applications and complex workflows.
When was Anthropic Claude Opus 5.5 released?⌄
The Anthropic Claude Opus 5.5 release was announced on September 22, 2026. As the first model in the Claude 5.5 family, it introduces improvements in agentic coding, professional knowledge work, output speed, and alignment.
How is Claude Opus 5.5 different from Claude Opus 5?⌄
Compared with Opus 5, Claude Opus 5.5 delivers stronger performance across agentic coding, computer use, and knowledge work. It also generates output more than 30% faster and costs approximately 40% less to run on typical workloads at default settings, according to Anthropic's testing. Clearer communication and improved resistance to prompt injection further distinguish the newer model.
How does Claude Opus 5.5 perform on benchmarks?⌄
The published Claude Opus 5.5 benchmarks demonstrate improvements across several technical and professional evaluations. The model scores 66.4% on Terminal-Bench 4.0, 54.4% on FrontierCode v1.1, and 1846 Elo on GDPval-AA v2.1. It also achieves 81.8% on the partial OSWorld 2.0 computer-use evaluation. Results depend on the benchmark configuration and evaluation settings.
What can developers build with Claude Opus 5.5 API?⌄
Developers can explore Claude Opus 5.5 API for coding assistants, research applications, business analysis tools, and other reasoning-intensive projects. Its coding capabilities also make it relevant to creative development tasks such as browser games, JavaScript animations, interactive simulations, and 3D visualization. The specific implementation options depend on the features supported by ModelFold's API.
Does ModelFold provide all the features of Anthropic Claude Opus 5.5 API?⌄
Not necessarily. ModelFold provides access to supported Claude Opus 5.5 API functionality, which may differ from the complete feature set available through Anthropic's official platform. Check the corresponding ModelFold API documentation for available parameters, request formats, and integration options before implementing a particular workflow.
How much does Claude Opus 5.5 API cost on ModelFold?⌄
Claude Opus 5.5 API pricing on ModelFold depends on the platform's current rates and your actual usage. Anthropic reports that Opus 5.5 reduces typical workload costs by approximately 40% compared with Opus 5 at default settings, but this figure reflects Anthropic's own evaluation rather than ModelFold's pricing. Visit the model's pricing page on ModelFold for the applicable rates.
Can I try Claude Opus 5.5 API for free on ModelFold?⌄
You can create a ModelFold account and check whether trial credits or other introductory offers are available for Claude Opus 5.5 API. Free access depends on the platform's current offers and applicable model pricing. Before making your first request, review the API documentation and available account balance to understand the supported functionality and usage requirements.
| Input | 400 credits 1M tokens≈ $2.00 |
| Output | 2000 credits 1M tokens≈ $10.00 |
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-5-5","messages":[{"role":"user","content":"Hello"}]}'