Add measured Vision and context-window columns alongside the tool-calling
metrics, and four more Scaleway models. gemma-4-26b-a4b-it becomes the
recommendation: the only model tested that is clean on cost, tool calling
and vision at once, with 2x the context of gpt-oss-120b.
Document models.dev as a prefill source for new rows, with the caveat that
it describes nominal capabilities rather than deployment behaviour. It was
wrong on two of seven models checked here -- it marks scaleway/gpt-oss-120b
as vision-capable when the model refuses images, marks
scaleway/mistral-small-3.2-24b as text-only when it reads them, and reports
tool_call: true for models that emit no tool calls in practice.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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