Anthropic
Claude Sonnet 5.5
claude-sonnet-5.5
Total Context
1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
Claude Opus 4.8
claude-opus-4.8Claude Opus 4.8 is Anthropic’s most capable generally available Opus-tier model in the referenced materials. Official pages emphasize complex reasoning, high-autonomy agents, long-horizon coding, knowledge work, and 1M-context workflows. It should be positioned as a premium model for difficult agent and professional tasks.
Context Window
1M tokens
Maximum Output
128K tokens
Release Date
May 28, 2026
Modalities
Claude Opus 4.8 Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $5/M | $25/M | $0.5/M |
Claude Opus 4.8 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
—
Endpoint Protocols
Completions APIMessages API
Claude Opus 4.8 Model Highlights
Claude Opus 4.8 emphasizes reliable agentic judgment, efficient software work and multimodal analysis for long-running professional tasks.
Agentic Judgment
Plans multi-step work, checks its own progress and flags uncertainty before committing to consequential actions.
Efficient Software Engineering
Carries coding tasks end to end while using tools in fewer steps and detecting flaws in its own implementations.
Multimodal Professional Analysis
Reasons across PDFs, diagrams and other unstructured material while preserving context and style over long sessions.
Claude Opus 4.8 Use Cases
Claude Opus 4.8 fits autonomous engineering, evidence-heavy research and computer-based workflows that require consistent execution.
Autonomous Software Delivery
Plan, implement and verify complex changes across services, carrying the work from investigation through tested code.
Evidence-Based Research
Review dense documents and mixed media, track supporting evidence and produce a structured analytical report.
Browser and Computer Workflows
Navigate browser-based workflows, interpret changing interfaces and complete multi-step operational tasks.
How to Use Claude Opus 4.8 via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Claude Opus 4.8 Benchmarks
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 55.7 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 56.7 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 92% |
| HLE | Broad expert-level exam set | 45.7% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 53.5% |
| Terminal-Bench Hard | Hard terminal task execution | 58.3% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 62.2% |
| AA-LCR | Long-context reasoning | 67.7% |
| τ²-Bench | Agent workflow tasks | 94.4% |
Metrics sourced from Artificial Analysis
Frequently asked questions about Claude Opus 4.8
Understand what Claude Opus 4.8 is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
How should developers understand the role of Claude Opus 4.8?+
Claude Opus 4.8 is Anthropic’s latest Opus-class model for complex reasoning, long-running agents, coding, and professional work. It is a current public model in its provider’s documentation, though availability can vary by platform.
When does Claude Opus 4.8 deliver the most practical value?+
Best-fit scenarios include long-horizon autonomous agents, agentic coding and repository work, and professional document and decision analysis. Test representative inputs and define measurable acceptance criteria before production.
What are the most useful characteristics of Claude Opus 4.8?+
Key strengths include strong coding performance, effective use of tools and function calls, and better handling of uncertainty and unsupported conclusions. This combination is especially useful for agentic coding and repository work.
What are the practical limits of Claude Opus 4.8?+
Consider another model when the workload is simple enough for a smaller model, very low latency is the main requirement, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
How should developers call Claude Opus 4.8 through TokenHub?+
In TokenHub, select the exact model identifier displayed for Claude Opus 4.8, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Check the TokenHub model page for the available Claude features, context limits, tool support, and current model status for your account.
Ready to use Claude Opus 4.8?
Use one API key to access Claude Opus 4.8 and more AI models through TokenHub.
Media and Discussions
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