ModelFoldclaude-opus-4-8
Claude Opus 4.8 は、複雑な推論、エージェントによるコーディング、専門的な知識作業を大幅に強化しています。誠実な応答と長期タスクの遂行能力を改善し、対応プラットフォームでは 100 万トークンのコンテキストを提供します。高度な自律ワークフローと要求の厳しい企業用途に向けた、Anthropic の一般提供モデルの中で最も高性能なモデルです。
料金： 入力：100 万トークンあたり 600 クレジット（約 $3.00）、出力：100 万トークンあたり 3000 クレジット（約 $15.00）。
今日はどんなお手伝いができますか？
Anthropic のほかの AI モデル
Access Claude Opus 4.8 API on ModelFold — Advanced Coding, Reasoning & Agentic Workflows
Access Anthropic Claude Opus 4.8 API on ModelFold for state-of-the-art coding, deep reasoning, multi-step agentic workflows, and long-context processing with cost-effective deployment.
Key Features of Claude Opus 4.8 API
Superior Coding and Debugging Performance in Claude Opus 4.8 API
Claude Opus 4.8 API delivers best-in-class performance on software engineering benchmarks including SWE-bench, terminal coding, and multi-file code review. It plans before it writes, catches subtle bugs that other models miss, and sustains quality across complex, multi-step development sessions. Whether you're building, debugging, or reviewing code, Claude Opus 4.8 API is the most reliable choice.
1M+ Token Context Window for Claude Opus 4.8 API
Claude Opus 4.8 API supports a 1M+ token context window, enabling developers to process entire codebases, lengthy legal documents, or multi-paper research corpora in a single request. This dramatically reduces context drift and improves retrieval accuracy on long-document tasks, making Claude Opus 4.8 API the go-to model for large-context applications.
Adaptive Thinking and Effort Controls in Claude Opus 4.8 API
Claude Opus 4.8 API features adaptive thinking that automatically adjusts reasoning depth based on task complexity. Developers can fine-tune effort levels to balance intelligence, latency, and cost — applying deep reasoning only when it matters. This makes Claude Opus 4.8 API both more powerful and more economical in production.
Enhanced Agentic Capabilities in Claude Opus 4.8 API
Claude Opus 4.8 API is built for agentic workflows. Improved context compaction, tool use reliability, and self-correction make it the strongest foundation for autonomous agents that read, reason, act, and verify across multi-step pipelines. Claude Opus 4.8 API maintains coherence and accuracy even in sessions spanning hundreds of tool calls.
How to Access Claude Opus 4.8 API on ModelFold
Get started with our product in just a few simple steps...
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Step 1: Sign Up for Your Claude Opus 4.8 API Key
Create an account on ModelFold and navigate to the API dashboard to generate your Claude Opus 4.8 API key. This key authenticates all your requests and gives you immediate access to the full capabilities of Claude Opus 4.8 API, including the 1M token context window and 128k output tokens.
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Step 2: Send Requests to Claude Opus 4.8 API
Use your Claude Opus 4.8 API key to send POST requests to the ModelFold endpoint. Pass your prompt, set model parameters like effort level and max tokens, and Claude Opus 4.8 API processes your request — handling everything from code generation to document analysis to agentic tool use.
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Step 3: Retrieve Results and Integrate Claude Opus 4.8 API
The Claude Opus 4.8 API returns structured responses with the generated text and token usage metadata. On ModelFold, requests go to POST https://ai.modelfold.online/v1/chat/completions in the OpenAI-compatible chat format, authenticated with your Bearer token, so the endpoint can be integrated into existing workflows using standard HTTP clients or OpenAI-compatible SDKs.
Claude Opus 4.8 API vs Other Models: Benchmark Comparison
| Benchmark | Claude Opus 4.8 | Claude Opus 4.6 | Claude Sonnet 4.6 | GPT-5.4 | Gemini 3.1 Pro |
|---|---|---|---|---|---|
| SWE-bench Verified | 75.2% | 72.5% | 65.3% | 69.8% | 63.1% |
| Terminal Coding (USACO) | 58.0% | 54.2% | 43.6% | 56.5% | 41.2% |
| Agentic Tool Use | 93.5% | 90.1% | 82.4% | 88.7% | 80.5% |
| GPQA Diamond (Reasoning) | 78.4% | 74.9% | 68.2% | 76.1% | 70.3% |
| MMLU Pro | 89.7% | 86.3% | 81.5% | 88.2% | 83.6% |
| Long-Context Retrieval (1M) | 97.8% | 95.2% | 88.1% | 91.5% | 93.4% |
| Code Review Accuracy | 91.2% | 87.6% | 79.4% | 85.3% | 76.8% |
| Max Context Window | 1M+ | 1M | 200K | 128K | 2M |
| Max Output Tokens | 128K | 128K | 64K | 32K | 65K |
Frequently Asked Questions About Claude Opus 4.8 API
What is Claude Opus 4.8 API and how does it work?⌄
It processes natural language prompts to generate code, analyze documents, reason through complex problems, and power autonomous AI agents. Send a POST request with your prompt and API key, and receive structured responses in seconds.
What is the Claude Opus 4.8 API price on ModelFold?⌄
ModelFold offers Claude Opus 4.8 API at significantly reduced pricing compared to direct Anthropic API access. With a flexible credit-based billing system, you only pay for what you use. Visit the ModelFold pricing page for current per-token rates on Claude Opus 4.8 API input and output tokens.
How do I get Claude Opus 4.8 API access for my project?⌄
Sign up on ModelFold, generate your API key from the dashboard, and start making requests immediately. ModelFold provides comprehensive API documentation, SDK examples, and integration guides to help you deploy Claude Opus 4.8 API in your application within minutes.
Can Claude Opus 4.8 API handle entire codebases in one request?⌄
Yes. With a 1M token context window , Claude Opus 4.8 API can process large codebases, multi-file repositories, and extensive documentation in a single API call. This eliminates the need for chunking strategies and enables holistic code analysis, refactoring, and review.
Why choose ModelFold for Claude Opus 4.8 API over other platforms?⌄
On ModelFold, Claude Opus 4.8 is called with model claude-opus-4-8 on POST https://ai.modelfold.online/v1/chat/completions using Authorization: Bearer YOUR_API_KEY, in the same OpenAI-compatible format as every other chat model on the platform. That means you can switch between Claude Opus 5.5, Claude Opus 5, Claude Sonnet 5.5 and other models just by changing the model id, with one API key and one billing account. Input and output token pricing is shown in the pricing section above.
| 入力 | 600 クレジット 1M tokens≈ $3.00 |
| 出力 | 3000 クレジット 1M tokens≈ $15.00 |
トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。
API ドキュメントを見る →curl https://ai.modelfold.online/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"claude-opus-4-8","messages":[{"role":"user","content":"Hello"}]}'