Intelligence index
Outperforms 90% of compared models
Claude Opus 4.8
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.
It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.
- Input / output price
- $5/$25per 1M tokens
- Context
- 1.0M
- Released
- 2026-05-27
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 89% of compared models
Agentic index
Outperforms 80% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1275Elo
Win rate 62%
Game Development
1263Elo
Win rate 52.5%
SVG
1193Elo
Win rate 51.4%
Data Visualization
1240Elo
Win rate 52.8%
Website
1257Elo
Win rate 52.8%
Code Categories
1253Elo
Win rate 52.3%
UI Component
1252Elo
Win rate 53%
3D
1219Elo
Win rate 51.2%
Agent Arena
Agenticslides
1294Elo
Win rate 64.8%
Agenticslides(python-pptx)
1310Elo
Win rate 68.9%
Pptxslides
1306Elo
Win rate 67.9%
Python-pptxslides
1298Elo
Win rate 65.9%
Agentichtmlslides
1227Elo
Win rate 55.6%
Agenticslides(html)
1230Elo
Win rate 56%
Agenticgamedev
1201Elo
Win rate 55.4%
Androidnative
1233Elo
Win rate 56.3%
Fullstack
1249Elo
Win rate 55.3%
Htmlslides
1117Elo
Win rate 58%
Godotgamedev
1231Elo
Win rate 55.8%
Spreadsheet
1218Elo
Win rate 65.4%
Blender3d
1185Elo
Win rate 52.7%
Mobile Apps
1220Elo
Win rate 54.6%
Webapps
1233Elo
Win rate 51.4%
Related Models
Claude Opus 5.5
anthropicClaude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up. The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.
- Context
- 1.0M
- Max output
- 128K
- Released
- 2026-09-22
- Input
- $4/M
- Output
- $20/M
- Cache read
- $0.2/M
Claude Sonnet 5.5
anthropicClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor. Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.
- Context
- 1.0M
- Max output
- 128K
- Released
- 2026-09-28
- Input
- $2/M
- Output
- $10/M
- Cache read
- $0.1/M
Claude Fable 5.1
anthropicClaude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.
- Context
- 1.0M
- Max output
- 128K
- Released
- 2026-09-01
- Input
- $10/M
- Output
- $50/M
- Cache read
- $0.25/M