Benchmark Almanac

Management Consulting Tasks (OpenAI)

GPT-5.6 Sol 43.2% leads since July 2026
In use

Models do management consulting work tasks from OpenAI's internal set. OpenAI has not published the task format or grading.

The GPT-5.6 post (July 9th, 2026) lists it under Professional with Claude and Gemini columns. GPT-5.6 Sol scored 43.2%. Scoring method is a guess from similar OpenAI task sets.

Made by
OpenAI
Released
July 2026
Kind
Running a business
Level
Expert
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Strongest model tested
Claude Fable 5 #11 on the capability index
Last in a launch post
July 2026
Last model added
July 2026
Scores refreshed
November 12th, 2026
7
Models scored on its own leaderboard
3
Launch posts list it, from 1 lab

GPT-5.6 Sol leads with 43.2% among models released by July 2026

Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.

The newest model with a score here came out in July 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 GPT-5.6 Sol 43.2%
  2. 2 GPT-5.6 Terra 37.2%
  3. 3 Claude Fable 5 35.5%
  4. 4 GPT-5.6 Luna 35.4%
  5. 5 Claude Opus 4.8 31.6%
  6. 6 GPT-5.5 31.3%
  7. 7 Gemini 3.1 Pro 13.2%

Source: Official Management Consulting Tasks (OpenAI) leaderboard

#ModelScoreSettingDateSource
1 GPT-5.6 Sol 43.2% Jul 2026 Official leaderboard
2 GPT-5.6 Terra 37.2% Jul 2026 Official leaderboard
3 Claude Fable 5 35.5% Jun 2026 Official leaderboard
4 GPT-5.6 Luna 35.4% Jul 2026 Official leaderboard
5 Claude Opus 4.8 31.6% May 2026 Official leaderboard
6 GPT-5.5 31.3% Apr 2026 Official leaderboard
7 Gemini 3.1 Pro 13.2% Feb 2026 Official leaderboard

Labs report scores for 3 models in their cards. We plot every source in the charts below.

2 models have held number one on the official leaderboard since its release in July 2026

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Anthropic OpenAI
Own leaderboard Not tested since Jul 2026
GPT-5.6 Sol 43.2%
Lab claims Not tested since Jul 2026
GPT-5.6 Sol 43.2%

Sources: Official Management Consulting Tasks (OpenAI) leaderboard and labs’ model cards

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-5.6 Sol Claude Fable 5 GPT-5.5 Gemini 3.1 Pro 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) GPT-5.6 Sol Claude Fable 5

Sources: Official Management Consulting Tasks (OpenAI) leaderboard and labs’ model cards

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

OpenAI
DateLaunch postScoreAs the post writes it
Jul 9, 2026 GPT-5.6 Luna 35.4 Management Consulting Tasks (Internal)
Jul 9, 2026 GPT-5.6 Terra 37.2 Management Consulting Tasks (Internal)
Jul 9, 2026 GPT-5.6 Sol 43.2 Management Consulting Tasks (Internal)

3 lab claims next to the leaderboard

Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 3 of them match, which usually means one side copied the other. Every benchmark.

Model Lab says Board says Gap
GPT-5.6 Sol 43.2% Management Consulting Tasks (Internal) 43.2% Leaderboard Same
GPT-5.6 Terra 37.2% Management Consulting Tasks (Internal) 37.2% Leaderboard Same
GPT-5.6 Luna 35.4% Management Consulting Tasks (Internal) 35.4% Leaderboard Same

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