Full deep dive: Claude Opus 4.7 Architecture Breakdown
Anthropic's flagship production model, released April 16, 2026. Opus 4.7 builds on Opus 4.6's adaptive thinking and context compaction foundations with three new architectural additions: task budgets for bounded agentic execution, an xhigh reasoning effort tier, and a high-resolution vision pipeline supporting up to 3.75 megapixels.
What's New in 4.7
| Feature | Detail |
|---|---|
| Task budgets | Token target for entire agentic loops — model adapts strategy to finish within budget |
| xhigh effort level | New top tier: more internal reasoning tokens for complex coding/agentic tasks |
| Vision resolution | Up to 3.75 megapixels (3x improvement over Opus 4.6) |
| New tokenizer | Updated tokenizer; specifics not published |
| Context carry-across | In Claude Code: maintains context across separate sessions |
Inherited from Opus 4.6
| Feature | Detail |
|---|---|
| Context window | 1M tokens with context compaction |
| Adaptive thinking | Dynamic effort levels (now extended to xhigh) |
| Context compaction | Auto-summarizes filling context to prevent "context rot" |
| Multimodal | Text, code, images (now at higher resolution) |
| Alignment | Constitutional AI (self-critique) |
Task Budgets
The key new agentic primitive. You supply a rough token budget for the entire loop — thinking, tool calls, tool results, output. Claude receives a running token countdown and uses it to prioritize: spending more tokens on high-value steps, skipping low-value ones, and completing gracefully as the budget expires rather than truncating mid-task. This solves the runaway cost problem that affects production agentic pipelines. In public beta as of release.
xhigh Effort Level
Extends the existing effort ladder (low → medium → high → xhigh). At xhigh, the model allocates significantly more internal reasoning tokens before producing output. Recommended for: complex coding tasks, multi-step planning, architecture decisions. Not recommended for simple Q&A — latency and cost increase substantially at xhigh.
Benchmarks
| Benchmark | Opus 4.7 | Opus 4.6 |
|---|---|---|
| SWE-bench Verified | 87.6% | 80.8% |
| SWE-bench Pro | 64.3% | 53.4% |
| GPQA Diamond | 94.2% | 91.3% |
| AIME | 98 | 93.3 |
Why It's in Assess (deep-dives quadrant)
Opus 4.7 introduces two design patterns worth extracting for your own agent systems: task budgets as a first-class resource constraint, and tiered reasoning effort as a cost-quality knob. Both are worth understanding architecturally even if you only consume them via API. As with Opus 4.6, the proprietary core limits how deeply you can inspect the implementation — assess the published patterns as design principles.
Key Characteristics
| Property | Value |
|---|---|
| Company | Anthropic |
| Model | Claude Opus 4.7 |
| Architecture | Transformer (proprietary enhancements) |
| Key innovations | Task budgets, xhigh effort, 3.75MP vision, inherited: 1M context + adaptive thinking + compaction |
| Pricing | $5/$25 per M tokens |
| Available via | Anthropic API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, GitHub Copilot |
| Released | April 16, 2026 |
| Sources | Anthropic Announcement, GitHub Changelog, AWS Blog |