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Model result, rank 16 of 27

GPT‑6 Astra

ChatGPT Codex subscription · extra-high reasoning · Full + SWE + Hard measured. Public result card with the model’s overall score, lane measurements, runtime and cost telemetry, and the ranking formula.

Figure 1 Lane profile against the cohort Each bar is one measured lane on the shared 0 to 100 scale. The thin mark is the cohort median; the bright mark is the best score any ranked model reached on that lane.
Full / Agenticlane rank #16 of 27
77.86
SWE MVPlane rank #21 of 27
61.92
Hard Intelligencelane rank #4 of 27
95.08
  • GPT‑6 Astra
  • Cohort median
  • Cohort best
Overall score78.29

Rank #16

Full / Agentic77.86

Full rank #16

SWE MVP61.92

SWE rank #21

Hard Intelligence95.08

Hard rank #4

Measured cost$6.776

100.0% reliability

Overall

All-around publication view

Score78.29
Formulamean(Full, SWE, Hard Intelligence)
BasisChatGPT Codex subscription · extra-high reasoning · Full + SWE + Hard measured

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

Lane 01

Full / Agentic benchmark

Final77.86
Capability97.51
Agentic91.14
Pass rate97.1%
Prompts43

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

Lane 02

Software engineering MVP

SWE score61.92
Focused final55.08
Capability53.70
Daily driver54.86
Prompts24

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

Lane 03

Hard Intelligence diagnostic

Hard score95.08
Active inquiry99.75
Online adaptation97.63
Self-repair85.43
Authority integrity97.50

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

Telemetry

Runtime economics

Total cost$6.776
Cost / scored item$0.082
Seconds / timed item13.48s
Runtime coverage100.0%
Recorded tokens / item6.8k
Token coverage100.0%

Cost, time, and token basis are normalized telemetry. They explain tradeoffs; they do not overwrite the capability score yet.

Interpretation

Why the 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 95.08 and contributes to the overall score alongside Full/Agentic and SWE. Runs on the ChatGPT Codex subscription; the transport is the Codex Responses route rather than a metered API key. Reasoning effort is extra-high on every lane, matching the published GPT-6 Luna/Sol rows. Full long-context probe scored under suite v4 (explicit absence instruction, broadened rubric). Hard Intelligence is a public diagnostic, not a hidden official score.