GMAT Quantitative
Models answer the quantitative section of the official GMAT online exam. Scored as accuracy.
Llama 3 uses one official GMAT online exam, so the confidence interval is wide.
- Made by
- GMAC
- Kind
- Word problems
- Level
- University
- Scored
- Checked automatically
- Answers
- Multiple choice
- Strongest model tested
-
Llama 3.1-405B #162 on the capability index
- Last in a system card
- November 2024
- Last model added
- November 2024
- Scores refreshed
- November 12th, 2026
Llama 3.1-405B leads with 96% among models released by July 2024
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Llama 3.1-405B leads with 96% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
The newest model with a score here came out in July 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Llama 3.1-405B 96%
- 2
Llama 3.1-70B 84%
- 3
Llama 3.1-8B 56%
Source: Labs’ model cards
- 1
Llama 3.1-405B 96%
- 2
Llama 3.1-70B 84%
- 3
Nemotron-4-340B-Instruct 76%
- 4
Llama 3.1-8B 56%
Source: Official GMAT Quantitative leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 96% | Nov 2024 | Lab model card | |
| 2 | | 84% | Nov 2024 | Lab model card | |
| 3 | | 56% | Nov 2024 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 96% | Jul 2024 | Official leaderboard | |
| 2 | | 84% | Jul 2024 | Official leaderboard | |
| 3 | | 76% | Jun 2024 | Official leaderboard | |
| 4 | | 56% | Jul 2024 | Official leaderboard |
The benchmark's own leaderboard has 7 entries, 4 of them models we track. Switch the scores above to rank them together.
Number one over time 2 models have held number one across all independent runs since 2023
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.
Sources: Official GMAT Quantitative leaderboard and labs’ model cards
Llama 3.1-405B on the official leaderboard passed 85% in July 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official GMAT Quantitative leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Nov 23, 2024 | | 56 | GMAT Quant., accuracy (Table 17) | Capabilities |
| Nov 23, 2024 | | 84 | GMAT Quant., accuracy (Table 17) | Capabilities |
| Nov 23, 2024 | | 96 | GMAT Quant., accuracy (Table 17) | Capabilities |
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 |
|---|---|---|---|
| | 96% GMAT Quant., accuracy (Table 17) | 96% Leaderboard | Same |
| | 84% GMAT Quant., accuracy (Table 17) | 84% Leaderboard | Same |
| | 56% GMAT Quant., accuracy (Table 17) | 56% Leaderboard | Same |
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