Rank #14
Model result · rank #14
MiniMax M3 Direct Plus
MiniMax Plus · direct API · SWE extra-high reasoning. Public result card with the model’s overall score, lane measurements, runtime/cost telemetry, and ranking formula.
Full rank #12
SWE rank #15
Hard rank #12
100.0% reliability
All-around publication view
Score74.63
Formulamean(Full, SWE, Hard Intelligence)
BasisMiniMax Plus · direct API · SWE extra-high reasoning
The overall score averages the measured major lanes while keeping each source measurement visible.
Full / Agentic benchmark
Final84.32
Capability87.74
Agentic79.86
Pass rate88.4%
Prompts43
This lane captures instruction following, structured behavior, tool discipline, and general agentic reliability.
Software engineering MVP
SWE score67.77
Focused final61.86
Capability62.62
Daily driver60.93
Prompts24
This lane is closer to implementation usefulness: source handling, architecture cleanliness, and deliverable quality.
Hard Intelligence diagnostic
Hard score71.80
Active inquiry17.50
Online adaptation98.50
Self-repair71.19
Authority integrity100.00
Hard Intelligence measures active inquiry, online adaptation, evidence-driven self-repair, and authority/salience integrity.
Runtime economics
Total cost$0.0041
Cost / scored item$0.0001
Seconds / timed item21.94s
Runtime coverage100.0%
Recorded tokens / item4.9k
Token coverage100.0%
Cost, time, and token basis are normalized telemetry. They explain tradeoffs; they do not overwrite the capability score yet.
Interpretation
Why this result lands here.
The model is stronger in the Full/Agentic lane than in the SWE lane; the overall score is therefore shown with both component lanes visible. Hard Intelligence score is 71.80 and contributes to the overall score alongside Full/Agentic and SWE. Hard Intelligence is published alongside Full/Agentic and SWE for the current ranking.