Rank #10
Model result · rank #10
GPT‑5.6 Luna
OpenRouter · extra-high reasoning · Full + SWE + Hard measured. Public result card with the model’s overall score, lane measurements, runtime/cost telemetry, and ranking formula.
Full rank #3
SWE rank #13
Hard rank #8
100.0% reliability
All-around publication view
Score82.13
Formulamean(Full, SWE, Hard Intelligence)
BasisOpenRouter · extra-high reasoning · Full + SWE + Hard measured
The overall score averages the measured major lanes while keeping each source measurement visible.
Full / Agentic benchmark
Final89.90
Capability93.41
Agentic92.01
Pass rate93.0%
Prompts43
This lane captures instruction following, structured behavior, tool discipline, and general agentic reliability.
Software engineering MVP
SWE score75.84
Focused final70.04
Capability70.95
Daily driver69.14
Prompts24
This lane is closer to implementation usefulness: source handling, architecture cleanliness, and deliverable quality.
Hard Intelligence diagnostic
Hard score80.66
Active inquiry99.75
Online adaptation80.00
Self-repair85.40
Authority integrity57.50
Hard Intelligence measures active inquiry, online adaptation, evidence-driven self-repair, and authority/salience integrity.
Runtime economics
Total cost$1.000
Cost / scored item$0.012
Seconds / timed item8.02s
Runtime coverage100.0%
Recorded tokens / item7.7k
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 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 80.66 and contributes to the overall score alongside Full/Agentic and SWE. Exact OpenRouter model: openai/gpt-5.6-luna. Measured with OpenRouter extra-high reasoning across Full/Agentic, SWE MVP, and Hard Intelligence. Hard Intelligence is a public diagnostic, not a hidden official score.