Claude Opus 4.8
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.
Parameters
Undisclosed
Context Window
1M
License
Proprietary
Release Date
2026-05-28
Japanese Language Capability
Multilingual model with strong Japanese language processing capabilities.
API Pricing
Input Price (per 1M tokens)
$5
Output Price (per 1M tokens)
$25
Billing Mode: standard
Strengths
- ・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
Weaknesses
- ・High API pricing ($5/$25 per 1M tokens)
- ・Not open-source
- ・Overpowered for lightweight tasks
Use Cases
- ・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
Deep Analysis
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
Strengths
- ・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
Weaknesses
- ・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
Competitor Comparison
| 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 |
Sources
Analysis generated: 2026-05-30