Claude Opus 4.7 Review: The Coding Partner Hits Its Peak
1M-context, Agent SDK accuracy, and tool-call stability — benchmarked against the competition over two weeks.
I put Anthropic's latest flagship, Claude Opus 4.7, through two weeks of real production work. Verdict: the most polished coding LLM available right now.
Scorecard
| Criterion | Rating |
|---|---|
| Coding accuracy | ★★★★★ |
| Tool-call reliability | ★★★★★ |
| Context handling (1M) | ★★★★☆ |
| Speed | ★★★★☆ |
| Cost | ★★★☆☆ |
What's new
The biggest jump from previous versions is sub-agent coordination. When a parent agent delegates, the child interprets correctly and returns a usable result without redundant back-and-forth. Agent SDK users will feel this immediately.
Versus the competition
Against GPT-5 family, Claude wins on long context, parallel tool calls, and instruction faithfulness. GPT still has the edge on visual reasoning and is slightly faster end-to-end.
Bottom line
95/100. Make this your default coding partner. If cost matters, pair it with Haiku 4.5 for the simple stuff.
Related: privacy around AI usage
When you run Claude against repositories or production data, a VPN keeps your traffic shape away from your default ISP routing. Useful for client work.
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