ModelRefs / Claude Opus 4 by Anthropic — Benchmarks, Pricing & Review (…

Claude Opus 4 by Anthropic — Benchmarks, Pricing & Review (…

Claude Opus 4 (Anthropic): Claude Opus 4 is Anthropic's most capable model in the Claude 4 family, optimized for sustained performance on complex multi-step…

What this reference supports

Claude Opus 4 is an Anthropic Claude 4 model built for complex coding, reasoning, and long-running agent tasks, representing an earlier and more capable tier in a moving Claude catalog that has since added newer releases, including later Opus and Sonnet generations.

Use this page to compare Opus 4's capabilities, context window, and pricing against Claude Sonnet 4 and newer Claude releases, and to check task-completion and supervision-need evidence — drawn from Anthropic's system-card index — before choosing it over a current-generation alternative for a new implementation.

This is an older named generation — verify current access, lifecycle status, and model identifiers across Anthropic and supported cloud channels before relying on it, and confirm whether a newer Claude model is the intended baseline for any new implementation work, since extended-thinking and tool-use behavior can differ meaningfully between generations, cloud channels, and API versions over time and across regions and accounts.

Benchmark & Evaluation

ModelRefs currently has partial, narrow benchmark coverage for Claude Opus 4. Treat the available benchmark evidence as one input to the decision, not a guarantee that Claude Opus 4 is the strongest option for your workload, and evaluate it on representative workloads before selecting it.

  • Provider-reported benchmark results should be interpreted with methodology, dataset, prompting, tool, sampling, and recency limitations in mind.
  • Anthropic's release and system-card index provide provider-run evaluation context; no score is added by this profile.

Implementation considerations

  • Pin the model identifier and test extended-thinking and tool-use behavior.
  • Evaluate task completion, supervision needs, latency, and migration risk against current Claude models.
  • Originally exposed through Anthropic and supported cloud channels.
  • Availability, regions, features, and identifiers differ by channel and change over time.

Risks and limitations

  • Outputs can be incorrect or unsuitable for the intended task; use task-specific evaluation, grounding, and human review where consequences are material.
  • API availability, model aliases, rate limits, data controls, regions, and prices are mutable and differ by product channel.

Source coverage

This reference is Provisional. Model behavior, access, pricing, limits, and lifecycle can change; verify the linked provider documentation and run task-specific evaluations before implementation.

Known coverage gaps:

  • Current lifecycle and cloud-channel availability need periodic reconciliation.
  • Independent long-horizon reliability evidence is incomplete.

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 Opus 4 by Anthropic — Benchmarks, Pricing & Review (….