On September 28, 2026, Anthropic introduced Claude Sonnet 5.5 for everyday work, coding and document creation. The company says the new model generates output more than 30% faster than Sonnet 5 and can reduce cost per completed task by up to 30%, despite unchanged token prices. That distinction matters when teams evaluate multistep AI workflows.

Sonnet 5.5 complements Opus 5.5. Anthropic positions Sonnet for well-scoped work, including bug fixes, interface iteration, spreadsheets, presentations and documents, while Opus targets more open-ended problems requiring sustained judgment. Those descriptions reflect the vendor's positioning, not guaranteed outcomes in every deployment.

View the real launch images and charts

Anthropic's official announcement contains the original cost-versus-performance charts and side-by-side model demonstrations. The images remain on the company's website so readers can view them in context and without unauthorized redistribution.

See the original charts at Anthropic ↗

Source: Anthropic, September 28, 2026. AUXER does not reproduce or claim ownership of the graphics.

What Anthropic reported in coding benchmarks

On Terminal-Bench 4.0, an agentic coding evaluation involving multistep terminal tasks, Anthropic reported 70.6% for Sonnet 5.5 and 10.3% for Sonnet 5. Its published CursorBench 4.0 results were 55.5% for Sonnet 5.5 and 34.1% for Sonnet 5. These are results for specific evaluation conditions, not universal success rates for software development.

EvaluationSonnet 5.5Sonnet 5
Terminal-Bench 4.070.6%10.3%
CursorBench 4.055.5%34.1%

Vendor-reported results published September 28, 2026. Benchmark scores provide comparisons under defined conditions, not predictions for every project.

Token prices remain unchanged

Sonnet 5.5 costs $2 per million input tokens, $10 per million output tokens and $0.20 per million cached input tokens read. Anthropic also lists $2.50 per million tokens written to the five-minute cache. The input and output prices match the listed Sonnet 5 rates.

Anthropic's task-cost claim rests on completing certain jobs with fewer tokens and steps. Actual savings depend on effort settings, tool calls and retries. For a coding agent, the most useful measure is not the cost of one response; it is the cost of a tested, completed fix.

What developers should check before migrating

The API model ID is claude-sonnet-5-5. Official documentation lists a one-million-token context window and a standard maximum output of 128,000 tokens. It also identifies migration considerations involving thinking settings, sampling parameters and response handling.

Compare the models on real examples: debugging, tool-based tasks, structured output and review workflows. Track quality, cost per completed task, end-to-end latency and human intervention. For sensitive operations, continue to enforce permissions and checks outside the model itself.

Official sources