Claude Opus 4.8

claude-opus-4.8

Claude 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.

Total Context

1Mtokens

Max Output

128Ktokens

Released

May 28, 2026

Modalities

Claude Opus 4.8 Price

Input PriceOutput PriceCache Read
$5/M$25/M$0.5/M

Claude Opus 4.8 API

POST /v1/chat/completions

Claude Opus 4.8 Benchmark

Claude Opus 4.8 (Adaptive Reasoning, Max Effort)

55.7

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

56.7

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

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

Media and Discussions

Selected public videos and posts related to this model.

X (Twitter)

View post on X
View post on X
View post on X

Reddit

YouTube

Watch on YouTube
Watch on YouTube
Watch on YouTube

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.