# Model family selection

Prefer diverse underlying model families, not just diverse providers or
gateways. A model target such as `hyper/minimax-m3` has provider/gateway
`hyper`, family MiniMax, and model M3.

## Default preference

Prefer open-weight or otherwise cost-effective non-frontier-proprietary models
unless the user pins a different target. Avoid known-proprietary labs like
Anthropic or OpenAI by default because they are expensive and not necessary for
the intended review mix.

Generally prefer review lanes from these particular models, or newer/larger,
when available:

- Qwen 3.7 Plus, preferably Max
- GLM 5.1
- Kimi K2.6
- MiniMax M3
- Mimi V2.5 Pro
- DeepSeek V4 Pro

When multiple variants in a generation are available, generally prefer the
largest or strongest available variant: Max over Plus over Flash, or Qwen 3.6
397B over Qwen 3.6 35B.

## Roster fields

Record these for every active or skipped lane:

- runner
- runner invocation profile
- exact candidate model ID
- provider/gateway
- underlying model family
- generation
- variant
- intended role
- reason selected or skipped
