Anthropic: Claude Opus 4.7
Analysis Summary
Claude Opus 4.7 is Anthropic's flagship model at release, with an intelligence index of 53.5 and a coding index of 52.5 that place it among the top five models in the current landscape. Its agentic index of 70.1, combined with tool use, function calling, and vision support, makes it a comprehensive platform for autonomous agents, complex coding tasks, and multimodal workflows. The 1M token context window and strong long-context reliability (LCR 0.703) support full-codebase and long-document analysis.
For businesses, Opus 4.7 is the right choice for the hardest reasoning, software engineering, and client-facing content tasks where answer quality is non-negotiable. Instruction following (IFBench 0.586) is slightly below some competitors in this tier, but overall capability breadth, Anthropic's reliability track record, and the model's proven adoption in enterprise workflows make it a strong default for premium use cases.
At $5 input and $25 output per million tokens, it is among the most expensive models available. Teams should reserve it for high-value tasks and pair it with a cheaper model for routine, high-volume calls. A benchmarked successor (Claude Opus 4.8) now exists, so highlight labels pass to that model, but Opus 4.7 remains a top-tier option for teams not yet on the latest version.
Assessed June 17, 2026
Editorial notes
Claude Opus 4.7 from Anthropic leads on reasoning, coding, and long-context reliability with a 1M token window, vision, and best-in-class instruction following for demanding business workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Anthropic: Claude Opus 4.7 compares
Anthropic: Claude Opus 4.7 ranks #4 of 380 AI models we track for overall intelligence, #4 of 94 for coding, #14 of 292 for agentic tasks. Its 1M-token context window is larger than 91% of the models we list. At $5.00 per million input tokens it is cheaper than 7% of comparable models.
About Anthropic: Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Anthropic: Claude Opus 4.7 stack up?
Compare side-by-side with other frontier models.
Model Information
| OpenRouter ID |
anthropic/claude-opus-4.7
|
| Provider | anthropic |
| Release Date | April 16, 2026 |
| Context Length | 1,000,000 tokens |
| Max Completion | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $5.00 | $0.005000 |
| Output | $25.00 | $0.025000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Anthropic: Claude Opus 4.7
How much does Anthropic: Claude Opus 4.7 cost?
Anthropic: Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens.
What is the context window of Anthropic: Claude Opus 4.7?
Anthropic: Claude Opus 4.7 has a context window of 1,000,000 tokens (1M).
Is Anthropic: Claude Opus 4.7 good for coding?
On our coding benchmark index, Anthropic: Claude Opus 4.7 ranks #4 of 94 models, placing it in the top quartile of the field for code generation and debugging.
What can Anthropic: Claude Opus 4.7 do?
Anthropic: Claude Opus 4.7 supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude Opus 4.7?
Anthropic: Claude Opus 4.7 is developed by Anthropic and was released on April 16, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 19, 2026 8:38 pm