Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
MiniMax M3
76
Verified leaderboard positions: Interfaze Beta unranked · MiniMax M3 #12
Treat this as a split decision. Interfaze Beta makes more sense if multimodal & grounded is the priority or you want the stronger reasoning-first profile; MiniMax M3 is the better fit if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Multimodal
+6.2 difference
Interfaze Beta
MiniMax M3
$1.5 / $3.5
$0.3 / $1.2
N/A
N/A
N/A
N/A
1M
1M
Treat this as a split decision. Interfaze Beta makes more sense if multimodal & grounded is the priority or you want the stronger reasoning-first profile; MiniMax M3 is the better fit if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Interfaze Beta and MiniMax M3 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 2.9x on output cost alone. Interfaze Beta is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Interfaze Beta and MiniMax M3 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Interfaze Beta has the edge for multimodal and grounded tasks in this comparison, averaging 71.1 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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