Files
agent-runtime-framework/benchmarks/minimax-m3-1-flash-unverified.md
Paul O'Reilly 418d634afa benchmarks: add Artificial Analysis snapshot and placeholder M3.1-Flash estimate
- artificial-analysis/2026-10-13.csv: Anthropic, Qwen, MiniMax-M3 rows with
  cost per task and derived cost per intelligence point
- minimax-m3-1-flash-unverified.md: operator-supplied KingBench figures, unverified
- estimates.csv: TODO placeholder for M3.1 Flash (0.9x M3 cost, index scaled by
  KingBench ratio) -- replace with measured/published values
2026-10-13 14:33:53 +13:00

1.7 KiB

MiniMax-M3.1-Flash-Preview — ad-hoc, UNVERIFIED figures

Supplied by the operator on 2026-10-13 with no source URL. Not from Artificial Analysis (the model is not on that leaderboard yet — see artificial-analysis/README.md). Do not use for registry scores until confirmed.

Item Figure Note
KingBench 3, M3.1 Flash 66.25% (53/80) "community and third-party testing"; arithmetic checks (53/80 = 66.25%)
KingBench 3, M3 baseline 31.25% (25/80) arithmetic checks; the source also mentions "alternative baseline figures depending on the evaluation set"
M3 SWE-bench Pro ~59% reference baseline for M3, described as official
M3 "Browse.com" 83.5 benchmark name looks mistyped (BrowseComp?) — confirm before citing
M3 Terminal Bench 2.1 "strong" no number given

Caveats: unknown effort level for the KingBench runs (Flash always thinks; server default is max); KingBench 3 is small (80 items) so one item is 1.25 points; none of these figures share a scale with the AA Intelligence Index (M3 = 29 there), so they cannot be mixed into one cost-per-intelligence figure.

TODO(revisit) — placeholder estimate in use (2026-10-13)

estimates.csv carries a stop-gap row for M3.1 Flash: cost per task = 90% of M3's ($0.51 -> $0.46) and intelligence index = M3's AA index (29) scaled by the KingBench-3 ratio (66.25/31.25 = 2.12) = 61.5. That index would rank it above Claude Opus 5.5 max (58), which is implausible for a Flash-class model — treat both numbers as rough placeholders. Replace with (a) the Artificial Analysis row when the model is listed, or (b) our own measured cost per task at each effort level (fixed task set via ask-minimax-run --output-format json).