Model result · rank #13

MiniMax M3

OpenRouter · extra-high reasoning. Public result card with the model’s overall score, lane measurements, runtime/cost telemetry, and ranking formula.

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Overall score79.66

Rank #13

Full / Agentic85.33

Full rank #11

SWE MVP86.88

SWE rank #5

Hard Intelligence66.77

Hard rank #14

Measured cost$0.182

100.0% reliability

Overall

All-around publication view

Score79.66

Formulamean(Full, SWE, Hard Intelligence)

BasisOpenRouter · extra-high reasoning

The overall score averages the measured major lanes while keeping each source measurement visible.

Lane 01

Full / Agentic benchmark

Final85.33

Capability89.60

Agentic81.72

Pass rate86.0%

Prompts43

This lane captures instruction following, structured behavior, tool discipline, and general agentic reliability.

Lane 02

Software engineering MVP

SWE score86.88

Focused final77.11

Capability86.15

Daily driver73.36

Prompts24

This lane is closer to implementation usefulness: source handling, architecture cleanliness, and deliverable quality.

Lane 03

Hard Intelligence diagnostic

Hard score66.77

Active inquiry17.50

Online adaptation97.50

Self-repair82.08

Authority integrity70.00

Hard Intelligence measures active inquiry, online adaptation, evidence-driven self-repair, and authority/salience integrity.

Telemetry

Runtime economics

Total cost$0.182

Cost / scored item$0.0024

Seconds / timed item27.52s

Runtime coverage100.0%

Recorded tokens / item6.7k

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 result is best read as a balanced benchmark entry: one overall score plus the lane measurements that produced it. Hard Intelligence score is 66.77 and contributes to the overall score alongside Full/Agentic and SWE. Hard Intelligence is published alongside Full/Agentic and SWE for the current ranking.