ModelRefs / Claude Sonnet 4.5 - AI model implementation reference

Claude Sonnet 4.5 - AI model implementation reference

Claude Sonnet 4.5 is an Anthropic hosted model positioned for coding, long-horizon agentic work, and computer use, with extended-thinking support in the Claude 4 generation. Implementation decisions weigh its cost-latency profile against Opus-tier models and require verifying current context-window and feature availability per endpoint.

Overview

Claude Sonnet 4.5 is attributed to Anthropic in ModelRefs' canonical registry. Tracked modalities: Text input and output, Image input. Primary use cases considered on ModelRefs: Repository-scale coding assistants and long-running agent loops; Tool-heavy enterprise workflows including computer-use automation.

This ModelRefs profile is decision-support material, not a final or universal ranking. Confirm current behavior, access, pricing, limits, licensing, and lifecycle in Anthropic's own documentation, and evaluate Claude Sonnet 4.5 on representative workloads before implementation.

Benchmark & Evaluation

ModelRefs currently has partial, narrow benchmark coverage for Claude Sonnet 4.5. Treat the available benchmark evidence as one input to the decision, not a guarantee that Claude Sonnet 4.5 is the strongest option for your workload, and evaluate it on representative workloads before selecting it.

  • No benchmark score is imported into this editorial record. Provider-reported evaluations support scoped notes only; canonical score records are governed separately with their own provenance.
  • Anthropic's release notes report coding and agentic evaluations under provider-defined harnesses; no score is imported by this record.

Implementation considerations

  • Decide extended-thinking budgets explicitly; thinking tokens change cost and latency and should be tuned per task.
  • Verify context-window, memory, and computer-use feature availability for your API tier and region rather than assuming parity across surfaces.
  • Hosted through the Anthropic API and eligible cloud partners (per Anthropic's current documentation).
  • Feature flags, rate limits, and data-retention controls differ by platform and account; check the models overview for the current matrix.

Risks and limitations

  • Hosted-model behavior, quotas, pricing, and data controls can change without a client-side version pin unless a dated snapshot is used.
  • Provider-reported capabilities require task-specific evaluation before production reliance.

Source coverage

ModelRefs reviewed Anthropic's published material on 2026-07-02. Model behavior, access, pricing, limits, and lifecycle can change, so verify the linked provider documentation before implementation. What remains open is recorded on this page: Independent reproduction of agentic and computer-use evaluations is not attached. Fit and comparison signals remain provisional until tested on your own workload.

Sources

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Claude Sonnet 4.5 - AI model implementation reference.