Intelligence index
Outperforms 79% of compared models
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.
Beyond coding, Opus 4.6 excels at sustained knowledge work. It produces near-production-ready documents, plans, and analyses in a single pass, and maintains coherence across very long outputs and extended sessions. This makes it a strong default for tasks that require persistence, judgment, and follow-through, such as technical design, migration planning, and end-to-end project execution.
For users upgrading from earlier Opus versions, see our official migration guide here
- Input / output price
- $5/$25per 1M tokens
- Context
- 1.0M
- Released
- 2026-02-04
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
1252Elo
Win rate 61.9%
Website
1290Elo
Win rate 61.1%
Code Categories
1287Elo
Win rate 61.2%
Data Visualization
1279Elo
Win rate 58.7%
Game Development
1276Elo
Win rate 61%
SVG
1224Elo
Win rate 60.9%
3D
1271Elo
Win rate 62.5%
UI Component
1278Elo
Win rate 59.8%
Agent Arena
Spreadsheet
1248Elo
Win rate 75%
Agenticgamedev
1164Elo
Win rate 46.1%
Fullstack
1220Elo
Win rate 59.9%
Androidnative
1192Elo
Win rate 62.1%
Mobile Apps
1207Elo
Win rate 58.3%
Blender3d
1066Elo
Win rate 38.6%
Webapps
1206Elo
Win rate 56.3%
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
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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
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- Output
- $10/M
- Cache read
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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