Claude Opus 4.8 Model Specs, Costs & Benchmarks (July 2026)
Claude Opus 4.8, developed by Anthropic, features a context window of 1M tokens. The model costs $5.00 per million tokens for input and $25.00 per million tokens for output. It was released on May 27, 2026, and has achieved impressive scores in various benchmarks.
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Overview
 Claude Opus 4.8 | |
|---|---|
Model Provider The organization behind this AI's development | Anthropic |
Input Context Window Maximum input tokens this model can process at once | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens |
Release Date When this model first became publicly available | May 27, 2026 2 months ago May 27th, 2026 |
Pricing
| Claude Opus 4.8 | |
|---|---|
Input Token Cost Cost per million input tokens | $5.00 per million tokens |
Output Token Cost Cost per million output tokens | $25.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.50 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | $6.25 per million tokens |
1-Hour Cache Write Cost Cost to cache input tokens for one hour | $10.00 per million tokens |
Capabilities & Features
| Claude Opus 4.8 | |
|---|---|
Input Types Supported input formats | textimagefile |
Output Types Supported output formats | text |
Tokenizer Text encoding system | Claude |
Key Features Advanced capabilities | ✓ Function Calling✓ Structured Output✓ Reasoning Mode✓ Content Moderation |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Max, Extra High, High, Medium, LowDefault: High |
Benchmarks
| Claude Opus 4.8 | |
|---|---|
Intelligence Index Overall model quality across independent evaluations | 55.7 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 74.3 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 47.2 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,335 Elo (#1 in Androidnative (66.7% win rate)) |
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