Anthropic: Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 (batch) is Anthropic's model listed here under its batch variant. It accepts text, image, and file inputs, and its 1,000,000-token context window leaves room for long documents, large codebases, or extended multi-file inputs in a single request. Output can run up to 128,000 tokens per completion. The model supports tool use and reasoning; structured output support is not specified in the available data, so teams that depend on strict schema adherence should verify it before committing. At $1.00 per million input tokens and $5.00 per million output tokens, it suits teams that run high-volume, long-context jobs and want tool calling and reasoning in the same model. Its blended benchmark score of 97.0 is strong, and its AI Index score is 92.4, but both figures rest on a single independent benchmark. Treat its standing as promising yet thinly validated, and test it on your own workloads before shortlisting it over more broadly benchmarked alternatives.