Code with Claude Sonnet 4.6
in AdaL CLI
Anthropic's most capable Sonnet-class model. 79.6% SWE-bench coding, 91.7% τ-bench tool use, and 1M token context — frontier performance at everyday prices.
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Why developers choose Sonnet 4.6
Frontier intelligence without the frontier price tag
Flawless Tool Calling
Near Opus-level τ-bench scores (91.7%) — Sonnet perfectly coordinates terminal commands, file edits, and web searches.
The Everyday Workhorse
At $3/$15 per 1M tokens, Sonnet delivers 79.6% SWE-bench coding performance at 5x less cost than Opus.
Advanced Planning
Extended thinking, adaptive thinking, and configurable effort levels let Sonnet reason deeply on hard problems while staying fast on simple ones.
1M Token Context (Beta)
Process entire codebases, long documentation sets, and complex multi-file architectures in a single pass.
Near-Opus on SWE-bench
79.6% on SWE-bench Verified — within 1.2 points of Opus 4.6, the industry leader, at a fraction of the price.
Highly Responsive
Significantly faster generation than Opus, making it the ideal daily driver for iterative development workflows.
Sonnet 4.6 Benchmark Performance
Near-Opus intelligence at a fraction of the cost
| Benchmark | Sonnet 4.6 | Opus 4.6 | Gemini 3.1 Pro | GPT-5.2 |
|---|---|---|---|---|
| SWE-bench Verified (Agentic coding) | 79.6% | 80.8% | 80.6% | 80.0% |
| Terminal-Bench 2.0 (Agentic terminal coding) | 59.1% | 65.4% | 68.5% | 64.7% |
| BrowseComp (Agentic search) | 74.7% | 84.0% | 85.9% | 65.8% |
| τ-bench Retail (Agentic tool use) | 91.7% | 91.9% | 90.8% | 82.0% |
| ARC-AGI-2 (Abstract reasoning) | 58.3% | 68.8% | 77.1% | 52.9% |
Source: Anthropic — Introducing Claude Sonnet 4.6 · Google DeepMind Model Card
How to use Claude Sonnet 4.6
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Install AdaL CLI
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Select Claude Sonnet 4.6
Use /model to pick Claude Sonnet 4.6 from the model selector.
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