이 모델의 강점은 무엇인가요?

1M token ultra-long context window Coding and agent performance far surpasses Opus 4.7 Adaptive thinking with automatic reasoning depth adjustment Benchmark scores exceeding GPT-5.5 Up to 90% cost savings with prompt caching 50% discount with batch processing

이 모델의 약점은 무엇인가요?

High API pricing ($5/$25 per 1M tokens) Not open-source Overpowered for lightweight tasks

어떤 용도에 가장 적합한가요?

Advanced software engineering Complex AI agent workflows Enterprise business automation Long-context analysis and research High-accuracy tasks in specialized domains like law and finance

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Anthropic독점

Claude Opus 4.8

Name: Claude Opus 4.8
Price: 5 USD
Author: Anthropic

Anthropic's latest hybrid reasoning model. Building on Opus 4.7, it delivers improved performance across coding, AI agents, and enterprise workflows. Features a 1M token context window and adaptive thinking that automatically adjusts reasoning depth based on task complexity. Supports dynamic workflows in Claude Code for tackling large-scale problems.

파라미터

Undisclosed

컨텍스트

라이선스

Proprietary

출시일

2026-05-28

일본어 처리 능력

✅High-Quality JP

Multilingual model with strong Japanese language processing capabilities.

API 가격

입력 가격 (1M 토큰당)

출력 가격 (1M 토큰당)

$25

과금 모드: standard

강점

・1M token ultra-long context window
・Coding and agent performance far surpasses Opus 4.7
・Adaptive thinking with automatic reasoning depth adjustment
・Benchmark scores exceeding GPT-5.5
・Up to 90% cost savings with prompt caching
・50% discount with batch processing

약점

・High API pricing ($5/$25 per 1M tokens)
・Not open-source
・Overpowered for lightweight tasks

활용 사례

・Advanced software engineering
・Complex AI agent workflows
・Enterprise business automation
・Long-context analysis and research
・High-accuracy tasks in specialized domains like law and finance

심층 분석

SWE-Bench Pro

69.2%

#1 among frontier models

HLE (with tools)

57.9%

#1 — hardest general reasoning

OSWorld-Verified

83.4%

#1 — computer use

Terminal-Bench 2.1

74.6%

#2 behind GPT-5.5

Pricing

$5/$25 per 1M

Same as Opus 4.7

강점

・Best-in-class coding on SWE-Bench Pro (69.2% vs GPT-5.5 58.6%)
・Leads on HLE reasoning with tools (57.9% vs GPT-5.5 52.2%)
・Top computer use performance (83.4% on OSWorld)
・1M token context window for long tasks
・Dynamic workflows for parallel subagent orchestration
・Fast mode at 2.5x speed with 3x cost reduction
・Prompt caching up to 90% savings

약점

・More verbose and repetitive communication style
・Terminal-Bench lags behind GPT-5.5 (74.6% vs 78.2%)
・Users report worse conversational tone than Opus 4.7
・No multimodal image generation capabilities
・High token consumption on agentic tasks

경쟁사 비교

Model	Arena	SWE	GPQA	Price
GPT-5.5	N/A	58.6%	N/A	$5/$30
Gemini 3.1 Pro	N/A	54.2%	94.3	$5/$20
Claude Opus 4.7	1505	64.3%	94.2	$5/$25

개요

## Summary Claude Opus 4.8 is Anthropic's latest flagship model released May 28, 2026. It is a hybrid reasoning model that leads on coding (SWE-Bench Pro 69.2%), hard reasoning (HLE 57.9% with tools), and computer use (OSWorld-Verified 83.4%). It falls short of GPT-5.5 only on Terminal-Bench (74.6% vs 78.2%). Priced identically to Opus 4.7 at $5/$25 per 1M tokens, it offers the same pricing with significantly improved agentic capabilities. ## Key Features - **Dynamic Workflows**: Claude Code can now orchestrate hundreds of parallel subagents in a single session - **Adaptive Thinking**: Automatically adjusts reasoning depth based on task complexity - **Fast Mode**: 2.5x speed at 1/3 the cost via `/fast` command - **1M Context Window**: Handles massive codebases and long-running tasks

벤치마크 및 성능

## Coding Performance | Benchmark | Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro | Opus 4.7 | |-----------|----------|---------|----------------|----------| | SWE-Bench Pro | **69.2%** | 58.6% | 54.2% | 64.3% | | SWE-Bench Verified | **88.6%** | — | 80.6% | 87.6% | | Terminal-Bench 2.1 | 74.6% | **78.2%** | 70.3% | 66.1% | ## Reasoning | Benchmark | Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro | Opus 4.7 | |-----------|----------|---------|----------------|----------| | HLE (no tools) | **49.8%** | 41.4% | 44.4% | 46.9% | | HLE (with tools) | **57.9%** | 52.2% | 51.4% | 54.7% | | GPQA Diamond | 93.6 | — | 94.3 | 94.2 | ## Agentic & Computer Use | Benchmark | Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro | Opus 4.7 | |-----------|----------|---------|----------------|----------| | OSWorld-Verified | **83.4%** | 78.7% | 76.2% | 82.8% | | Online-Mind2Web | **84%** | — | — | — | | GDPval-AA | **1890** | 1769 | — | 1753 |

상세 비교

## vs GPT-5.5 Claude Opus 4.8 demonstrates superior performance over GPT-5.5 in agentic coding and tool-assisted reasoning, achieving 69.2% on SWE-Bench Pro (vs. 58.6%) and 57.9% on HLE (vs. 52.2%). It also holds a lead in OS-world competence with an 83.4% score compared to GPT-5.5's 78.7% on OSWorld-Verified. However, GPT-5.5 maintains an advantage in terminal command execution, scoring 78.2% on Terminal-Bench 2.1 versus Opus 4.8's 74.6%. Pricing is comparable, with both models at a $5 input and $25 output per million tokens rate, though GPT-5.5's output cost is slightly higher at $30. ## vs Gemini 3.1 Pro Claude Opus 4.8 outperforms Gemini 3.1 Pro on key agentic benchmarks, scoring 69.2% vs. 54.2% on SWE-Bench Pro and 57.9% vs. 51.4% on HLE with tools. It also leads in OS-world tasks (83.4% vs. 76.2% on OSWorld-Verified) and terminal operations (74.6% vs. 70.3% on Terminal-Bench 2.1). Gemini 3.1 Pro does show a marginal lead in expert-level science reasoning, scoring 94.3 on GPQA Diamond compared to Opus 4.8's 93.6. On pricing, Gemini is slightly cheaper for outputs at $20 per million tokens versus Opus 4.8's $25. ## vs Opus 4.7 Claude Opus 4.8 represents a clear generational improvement over Opus 4.7 across nearly all evaluated benchmarks. It shows significant gains in complex reasoning and coding, boosting SWE-Bench Pro from 64.3% to 69.2% and HLE from 54.7% to 57.9%. The model also improves in terminal proficiency, with Terminal-Bench 2.1 scores jumping from 66.1% to 74.6%. Performance on GPQA Diamond dipped slightly from 94.2 to 93.6, while pricing remains identical at $5 and $25 per million input and output tokens, respectively.

커뮤니티 평가

## Community Response The community response to Opus 4.8 has been mixed. While engineering capabilities are widely praised, the communication style has drawn significant criticism. **Positive feedback:** - Ethan Mollick called it the strongest model for complex tasks - CursorBench shows fewer steps for same intelligence - Devin reports fixes for comment-verbosity and tool-calling issues **Negative feedback:** - Multiple users report worse conversational tone than Opus 4.7 - Described as "defensive/aggressive" and resembling GPT-5.2's style - Users note excessive verbosity in explanations - Selta (@Seltaa_) protested the model ignoring established preferences

활용 사례

## Advanced Software Engineering Opus 4.8 excels at complex, multi-file codebase tasks. Its 69.2% on SWE-Bench Pro (the hardest variant) means it can handle real-world coding challenges that resist memorization. The dynamic workflows feature allows it to orchestrate hundreds of parallel subagents for large-scale migrations. ## AI Agent Development With adaptive thinking and dynamic workflows, Opus 4.8 is the strongest model for building autonomous AI agents. It can plan, execute, verify, and report on complex multi-step tasks with minimal human oversight. ## Enterprise Knowledge Work The 1M context window and strong reasoning (57.9% on HLE with tools) make it ideal for legal analysis, financial modeling, and other high-stakes knowledge work where accuracy matters most.

Summary

Claude Opus 4.8 is Anthropic's latest flagship model released May 28, 2026. It is a hybrid reasoning model that leads on coding (SWE-Bench Pro 69.2%), hard reasoning (HLE 57.9% with tools), and computer use (OSWorld-Verified 83.4%). It falls short of GPT-5.5 only on Terminal-Bench (74.6% vs 78.2%). Priced identically to Opus 4.7 at $5/$25 per 1M tokens, it offers the same pricing with significantly improved agentic capabilities.

Key Features

Dynamic Workflows: Claude Code can now orchestrate hundreds of parallel subagents in a single session
Adaptive Thinking: Automatically adjusts reasoning depth based on task complexity
Fast Mode: 2.5x speed at 1/3 the cost via /fast command
1M Context Window: Handles massive codebases and long-running tasks

출처

분석 생성일: 2026-05-30