Data published by Latest Model, 4 November 2026. The data as JSON.

Read the article: GPT-6 Luna, Terra, and Sol: A Tie on Checkable Tasks

GPT-6 Luna, GPT-6.1 Terra and GPT-6.1 Sol each answered 25 of 25 checkable tasks correctly (100%), so these questions no longer tell them apart.

Seonara model bench, 2026-11-04: 25 tasks x 3 run(s) at temperature 0, task set 2026-10-29.1, every answer scored by a program.

Model Correct Change dates-units extraction instructions knowledge reasoning Median seconds Cost per run Consistent
GPT-6 Luna 25 of 25 (100%) new 100% 100% 100% 100% 100% 1.28 $0.0005 84%
GPT-6.1 Terra 25 of 25 (100%) new 100% 100% 100% 100% 100% 1.32 $0.0036 92%
GPT-6.1 Sol 25 of 25 (100%) new 100% 100% 100% 100% 100% 1.80 $0.0061 96%
GPT-4.1 24 of 25 (96%) 0 75% 100% 100% 100% 100% 0.86 $0.0028 92%
GPT-4o mini 23 of 25 (92%) 0 75% 100% 80% 100% 100% 0.81 $0.0002 100%
GPT-4.1 mini 22 of 25 (88%) 0 75% 100% 60% 100% 100% 0.79 $0.0006 96%

Since 2026-10-29

No model's score moved.

Consistent: the share of questions a model answered the same way in every one of its 3 runs; a model that changes its answer is not one to rely on for that question.

On the harder questions

The same models on a second set of 7 tasks built to trip them (task set 2026-10-29.leap1, 3 run(s) each, run 2026-11-04). A trap task has a tempting wrong answer; a control task has none.

Model Correct control trap Median seconds Cost per 100 tasks
GPT-6.1 Terra 100% 100% 100% 1.58 $0.0400
GPT-6.1 Sol 100% 100% 100% 2.23 $0.0648
GPT-6 Luna 86% 83% 87% 2.12 $0.0076
GPT-4.1 67% 100% 53% 0.93 $0.0566

With only 7 tasks one miss is 14 points before repeats; read gaps of a few points as ties.

What this cannot tell you

25 questions is a small sample: a one-question difference is 4 points, so models within a few points of each other are tied. Seconds are wall time from one PC, network included. Costs use the listed prices per million tokens on the day. The questions, the scoring code and every answer are published, so the run can be repeated.

Raw results: results.csv and methodology.md of the 2026-11-04 run, published with this scoreboard.