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Claude Opus 4.8

Masukan:$4/M
Keluaran:$20/M
Konteks:200K tokens
Keluaran Maksimum:128K
Dirilis:May 28, 2026

Claude Opus 4.8 is a premium AI model designed for advanced reasoning, deep analysis, and high-quality content generation. It excels at handling complex instructions, long-context understanding, and sophisticated problem-solving across professional and technical domains.

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Playground untuk Claude Opus 4.8

Jelajahi Playground Claude Opus 4.8 โ€” lingkungan interaktif untuk menguji model dan menjalankan kueri secara real-time. Coba prompt, sesuaikan parameter, dan iterasi secara instan untuk mempercepat pengembangan dan memvalidasi kasus penggunaan.

Technical Specifications of Claude Opus 4.8

ItemClaude Opus 4.8
Model familyClaude Opus 4
ProviderAnthropic
API model IDclaude-opus-4-8
Release dateMay 28, 2026
Context window1 million tokens (default on Claude API, Bedrock, Vertex AI)
Context window (Microsoft Foundry)200K tokens
Max output tokens128K
Input typesText, image, documents
Output typesText, structured data, code
Reasoning modesAdaptive thinking + effort control
Effort levelslow, high, extra/xhigh, max
Tool supportFunction calling, agents, MCP, browser tools, code execution
Primary optimizationLong-horizon agentic coding and professional knowledge work
Related modelsClaude Sonnet 4, Claude Opus 4.7, Claude Mythos Preview

What is Claude Opus 4.8?

Claude Opus 4.8 is Anthropicโ€™s flagship generally available reasoning model focused on high-autonomy agent workflows, large-scale software engineering, professional analysis, and long-context reasoning. It builds on Claude Opus 4.7 with improved coding reliability, better tool orchestration, stronger judgment, and significantly improved honesty behaviors.

Anthropic positions Opus 4.8 as a hybrid reasoning model capable of sustained autonomous execution over long-running workflows. The model is optimized for complex multi-step coding, research, financial analysis, legal reasoning, and enterprise AI agents.

Main Features of Claude Opus 4.8

  • 1M-token context window: Opus 4.8 can reason across enormous repositories, long technical documents, and enterprise knowledge bases without losing context.
  • Long-horizon agentic coding: Anthropic specifically optimized the model for autonomous engineering tasks including repository-scale migrations, debugging, tool orchestration, and multi-file refactoring.
  • Adaptive effort control: Users can dynamically adjust how much reasoning compute Claude applies to a task, balancing latency, quality, and token usage.
  • Dynamic workflows: Claude Code can now orchestrate hundreds of parallel subagents within a single session, enabling large-scale autonomous execution pipelines.
  • Improved honesty and uncertainty awareness: Anthropic reports that Opus 4.8 is approximately four times less likely than Opus 4.7 to ignore flaws in generated code or falsely claim progress.
  • Higher-quality tool usage: Cursor, Devin, and enterprise partners report more efficient tool calling, stronger instruction following, and better long-session reliability.

Benchmark Performance of Claude Opus 4.8

Anthropic reports major gains across agentic coding, browser automation, and professional reasoning benchmarks:

  • Online-Mind2Web: ~84% score for browser-agent tasks, outperforming prior Opus releases and reportedly ahead of GPT-5.5 in Anthropicโ€™s internal evaluation setup.
  • Legal Agent Benchmark: First model reported to exceed 10% on the all-pass legal-agent standard.
  • CursorBench: Improved performance across all effort levels with more efficient tool usage and fewer redundant actions.
  • Terminal-Bench 2.1: Strong gains in terminal-based agent workflows and long-running coding tasks.
  • Enterprise knowledge work: Databricks, Hebbia, and legal AI partners reported better retrieval precision, deeper analysis quality, and stronger structured output generation.

Claude Opus 4.8 vs Other Frontier Models

CapabilityClaude Opus 4.8GPT-5.5Claude Sonnet 4
Long-context reasoningExcellent (1M)ExcellentVery strong
Agentic codingIndustry-leadingStrongStrong
Tool orchestrationExcellentExcellentVery good
Coding autonomyExcellentStrongStrong
Cost efficiencyModerateExpensiveBetter value
Honesty / uncertainty handlingExceptional focusGoodVery good
Best use caseAutonomous engineeringGeneral reasoningCost/performance balance

Limitations of Claude Opus 4.8

  • Very large-context and high-effort modes can consume substantial tokens and increase inference costs.
  • Some developers report mixed real-world gains versus Opus 4.6 and 4.7 in independent testing.
  • The new system-message format introduced compatibility issues for some OpenAI-compatible routers and proxy layers.
  • Anthropic acknowledges that Mythos-class systems will surpass Opus 4.8 in advanced reasoning and cybersecurity capability.

Representative Enterprise Use Cases

  1. Repository-scale code migrations
  2. Autonomous software engineering agents
  3. Financial document analysis
  4. Legal research and drafting
  5. Deep enterprise knowledge retrieval
  6. Browser automation agents
  7. Multi-step DevOps orchestration
  8. Long-form technical research
  9. Structured business intelligence workflows

How to Access Claude Opus 4.8 in CometAPI

Step 1: Get API Access

Create an account at CometAPI Console and get API a key .

Step 2: Use the Model ID

Use the following API model identifier:

claude-opus-4-8/ claude-opus-4-8-thinking

Step 3: Configure Effort Levels

Choose reasoning effort settings depending on latency and quality requirements:

  • low
  • high
  • extra (xhigh)
  • max

Higher effort settings improve deep reasoning and autonomous execution quality but increase token usage.

โ€‹ Developer Documentation

FAQ

Harga untuk Claude Opus 4.8

Jelajahi harga kompetitif untuk Claude Opus 4.8, dirancang untuk berbagai anggaran dan kebutuhan penggunaan. Paket fleksibel kami memastikan Anda hanya membayar untuk apa yang Anda gunakan, memudahkan untuk meningkatkan skala seiring berkembangnya kebutuhan Anda. Temukan bagaimana Claude Opus 4.8 dapat meningkatkan proyek Anda sambil menjaga biaya tetap terkendali.

ModelComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
claude-opus-4-8
Masukan:$4/M
Keluaran:$20/M
Masukan:$5/M
Keluaran:$25/M
-20%

Kode contoh dan API untuk Claude Opus 4.8

Akses kode sampel komprehensif dan sumber daya API untuk Claude Opus 4.8 guna mempermudah proses integrasi Anda. Dokumentasi terperinci kami menyediakan panduan langkah demi langkah, membantu Anda memanfaatkan potensi penuh Claude Opus 4.8 dalam proyek Anda.

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"
curl https://api.cometapi.com/v1/messages \
  --header "Authorization: $COMETAPI_KEY" \
  --header "content-type: application/json" \
  --data \
'{
  "model": "claude-opus-4-8",
  "max_tokens": 1024,
  "messages": [
    {"role": "user", "content": "Hello, Claude"}
  ]
}'

cURL Code Example

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"
curl https://api.cometapi.com/v1/messages \
  --header "Authorization: $COMETAPI_KEY" \
  --header "content-type: application/json" \
  --data \
'{
  "model": "claude-opus-4-8",
  "max_tokens": 1024,
  "messages": [
    {"role": "user", "content": "Hello, Claude"}
  ]
}'

Python Code Example

import anthropic
import os

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com"

client = anthropic.Anthropic(
    base_url=BASE_URL,
    api_key=COMETAPI_KEY,
)
message = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
print(message.content[0].text)

JavaScript Code Example

import Anthropic from "@anthropic-ai/sdk";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com";

const anthropic = new Anthropic({
  apiKey: api_key,
  baseURL: base_url,
});

const message = await anthropic.messages.create({
  model: "claude-opus-4-8",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Hello, Claude" }],
});

console.log(message.content?.[0]?.text ?? message);

Uptime

Tingkat keberhasilan permintaan selama 30 hari terakhir, mencerminkan keandalan setiap penyedia model. CometAPI memantau semua penyedia yang terhubung secara real-time, 24/7.

RespondLIVE
7230msAvg. Response
UptimeLIVE
100.0%Avg. Uptime

Versi Claude Opus 4.8

Alasan Claude Opus 4.8 memiliki beberapa _snapshot_ mungkin mencakup faktor-faktor potensial seperti variasi keluaran setelah pembaruan yang memerlukan _snapshot_ lama untuk konsistensi, memberikan masa transisi bagi pengembang untuk beradaptasi dan bermigrasi, serta _snapshot_ berbeda yang sesuai dengan _endpoint_ global atau regional untuk mengoptimalkan pengalaman pengguna. Untuk perbedaan detail antar versi, silakan merujuk ke dokumentasi resmi.

Versionnoteaccess
ย claude-opus-4-7yes
ย claude-opus-4-7-thinkingThinking Variationsyes