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Claude Opus 4.8

ฤแบงu vร o:$4/M
ฤแบงu ra:$20/M
Bแป‘i cแบฃnh:200K tokens
ฤแบงu ra tแป‘i ฤ‘a:128K
Ngร y phรกt hร nh: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.

Mแป›i
Sแปญ dแปฅng thฦฐฦกng mแบกi

Playground cho Claude Opus 4.8

Khรกm phรก Playground cแปงa Claude Opus 4.8 โ€” mรดi trฦฐแปng tฦฐฦกng tรกc ฤ‘แปƒ kiแปƒm tra mรด hรฌnh vร  chแบกy truy vแบฅn theo thแปi gian thแปฑc. Thแปญ prompts, ฤ‘iแปu chแป‰nh tham sแป‘ vร  lแบทp lแบกi ngay lแบญp tแปฉc ฤ‘แปƒ tฤƒng tแป‘c phรกt triแปƒn vร  xรกc thแปฑc cรกc trฦฐแปng hแปฃp sแปญ dแปฅng.

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

Cรขu Hแปi Thฦฐแปng Gแบทp

Giรก cแบฃ cho Claude Opus 4.8

Khรกm phรก mแปฉc giรก cแบกnh tranh cho Claude Opus 4.8, ฤ‘ฦฐแปฃc thiแบฟt kแบฟ ฤ‘แปƒ phรน hแปฃp vแป›i nhiแปu ngรขn sรกch vร  nhu cแบงu sแปญ dแปฅng khรกc nhau. Cรกc gรณi linh hoแบกt cแปงa chรบng tรดi ฤ‘แบฃm bแบฃo bแบกn chแป‰ trแบฃ tiแปn cho nhแปฏng gรฌ bแบกn sแปญ dแปฅng, giรบp dแป… dร ng mแปŸ rแป™ng quy mรด khi yรชu cแบงu cแปงa bแบกn tฤƒng lรชn. Khรกm phรก cรกch Claude Opus 4.8 cรณ thแปƒ nรขng cao cรกc dแปฑ รกn cแปงa bแบกn trong khi vแบซn kiแปƒm soรกt ฤ‘ฦฐแปฃc chi phรญ.

ModelComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
claude-opus-4-8
ฤแบงu vร o:$4/M
ฤแบงu ra:$20/M
ฤแบงu vร o:$5/M
ฤแบงu ra:$25/M
-20%

Mรฃ mแบซu vร  API cho Claude Opus 4.8

Truy cแบญp mรฃ mแบซu toร n diแป‡n vร  tร i nguyรชn API cho Claude Opus 4.8 ฤ‘แปƒ tแป‘i ฦฐu hรณa quy trรฌnh tรญch hแปฃp cแปงa bแบกn. Tร i liแป‡u chi tiแบฟt cแปงa chรบng tรดi cung cแบฅp hฦฐแป›ng dแบซn tแปซng bฦฐแป›c, giรบp bแบกn khai thรกc toร n bแป™ tiแปm nฤƒng cแปงa Claude Opus 4.8 trong cรกc dแปฑ รกn cแปงa mรฌnh.

# 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

Tแปท lแป‡ thร nh cรดng cแปงa yรชu cแบงu trong 30 ngร y qua, phแบฃn รกnh ฤ‘แป™ tin cแบญy cแปงa tแปซng nhร  cung cแบฅp mรด hรฌnh. CometAPI giรกm sรกt tแบฅt cแบฃ cรกc nhร  cung cแบฅp ฤ‘ฦฐแปฃc kแบฟt nแป‘i theo thแปi gian thแปฑc, 24/7.

RespondLIVE
9073msAvg. Response
UptimeLIVE
100.0%Avg. Uptime

Cรกc phiรชn bแบฃn cแปงa Claude Opus 4.8

Lรฝ do Claude Opus 4.8 cรณ nhiแปu snapshot cรณ thแปƒ bao gแป“m cรกc yแบฟu tแป‘ tiแปm nฤƒng nhฦฐ: sแปฑ thay ฤ‘แป•i ฤ‘แบงu ra sau cรกc bแบฃn cแบญp nhแบญt cแบงn cรกc snapshot cลฉ ฤ‘แปƒ ฤ‘แบฃm bแบฃo tรญnh nhแบฅt quรกn, cung cแบฅp cho nhร  phรกt triแปƒn thแปi gian chuyแปƒn tiแบฟp ฤ‘แปƒ thรญch แปฉng vร  di chuyแปƒn, cลฉng nhฦฐ cรกc snapshot khรกc nhau tฦฐฦกng แปฉng vแป›i cรกc endpoint toร n cแบงu hoแบทc khu vแปฑc nhแบฑm tแป‘i ฦฐu hรณa trแบฃi nghiแป‡m ngฦฐแปi dรนng. ฤแปƒ biแบฟt chi tiแบฟt vแป sแปฑ khรกc biแป‡t giแปฏa cรกc phiรชn bแบฃn, vui lรฒng tham khแบฃo tร i liแป‡u chรญnh thแปฉc.

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