Quick answer: Claude Sonnet 5 is Anthropic's most capable Sonnet-class model, released 30 June 2026. It closes most of the gap to Opus 4.8 at Sonnet pricing ($3/$15 per million tokens), ships with adaptive thinking on by default (selectable effort from low to x-high), a 1M-token context window, and real-time cybersecurity safeguards. Anthropic reports 91.1% on GPQA Diamond and 39.6% on Humanity's Last Exam. API identifier:
claude-sonnet-5.
Where Claude Sonnet 5 leads
Where it lags
Best for: high-volume agentic pipelines, coding workflows, and multi-step agent tasks where Opus 4.8 is cost-prohibitive.
Claude Sonnet 5 is Anthropic's sixth-generation Sonnet model and the first Sonnet designed explicitly for the agentic era. Anthropic describes its design goal as making sustained autonomous execution practical at mid-tier cost: the model finishes complex multi-step tasks where Sonnet 4.6 would stop short, self-checks its own output without being asked, and does so at a price point that makes it deployable at scale.
The biggest architectural change from Sonnet 4.6 is the promotion of adaptive thinking from opt-in to the default mode. Every request now benefits from internal reasoning, with five effort levels letting developers dial cost and latency to match the task. For straightforward tasks, low effort delivers fast, cheap responses; for complex coding or research tasks, x-high effort approaches Opus 4.8's output quality. This makes Sonnet 5 effectively a range of models in one API identifier.
Sonnet 5 also introduces a new tokenizer that processes text into approximately 30% more tokens than Sonnet 4.6. Pricing per token is unchanged ($3/$15, introductory $2/$10), but teams migrating from Sonnet 4.6 should recount prompts and revisit max_tokens budgets before assuming cost parity. Anthropic set introductory pricing to make the transition roughly cost-neutral for typical workloads.
For Benchgen, Sonnet 5 is directly relevant: its variable effort model creates a family of cost-performance operating points that are exactly the kind of nuance production benchmarking surfaces and single-number leaderboards obscure.
| Field | Value |
|---|---|
| Organization | Anthropic |
| Model type | Adaptive reasoning model (effort-controlled thinking, low → x-high) |
| API identifier | claude-sonnet-5 |
| Access | Closed, API only (Claude apps, Anthropic API, AWS Bedrock, Google Cloud Vertex, Microsoft Foundry) |
| Context window | 1M tokens (default and maximum) |
| Max output tokens | 128k |
| License | Proprietary |
| Release date | 30 June 2026 |
| Modality | Multimodal (text, image, and file inputs; text output) |
| Cybersecurity safeguards | Real-time (first Sonnet-tier model with this feature) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| Anthropic (standard) | $3.00 | $15.00 |
| Introductory (through Aug 31, 2026) | $2.00 | $10.00 |
Note: the new tokenizer produces ~30% more tokens for equivalent text vs. Sonnet 4.6, so effective cost per request may differ even though per-token rates are unchanged. Source: Anthropic — Introducing Claude Sonnet 5.
| Benchmark | Score | Notes |
|---|---|---|
| GPQA Diamond | 91.1% | Graduate-level scientific reasoning |
| Humanity's Last Exam (HLE) | 39.6% | Frontier knowledge exam |
| Long-Context Reasoning (AA-LCR) | 70.7% | Long-context reasoning evaluation |
| SciCode | 53.6% | Python programming for scientific computing |
Source: OpenRouter — Anthropic: Claude Sonnet 5, scores from Artificial Analysis.
This model isn’t on any benchmark leaderboard yet.