[whatmodel.sh](../../README.md) / Minerva 62B # Minerva 62B Google · released 2022-06 · 62.5B params · proprietary **score 46.3** ±1.7 · comparison only: no current run option verified · from 4 benchmark results across 1 source · † no independently run results verified Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Minerva 62B among every model on that task or test, worst to best. 
task  vs the others          rank  counts  tests
math  ▁▁▃▆█●▅█▃▁▁▁   #285 of 530*     65%      2
math · #285 of 530 · 65% of its score Beats [GPT-4o (2024-08-06)](gpt-4o-2024-08-06.md), [Command A (03-2025)](command-a.md), [GPT-4o (2024-05-13)](gpt-4o-2024-05-13.md) here, though they rank higher overall. Trails [Gemma 7B (base)](gemma-7b-base.md), [CodeGemma 7B (v1.0)](codegemma-7b.md), [Phi-2 (2.7B)](phi-2.md) here, though they rank lower overall. 
test                  result  vs the others in its run  difficulty      counts  why
GSM8K (maker)          52.4%  ▃····▃··▃··● beats 3/5    easy · avg 66%     54%  sharp · at its level
Minerva MATH (maker)   27.6%  ▄··▄··▄·▄··● beats 4/5    hard · avg 33%     11%  at its level
other tests (2) 
test                                result  vs the others in its run  difficulty        counts  why
MMLU-STEM (Minerva subset) (maker)   53.9%  ▄······▄▄·●█ beats 3/5    medium · avg 62%     24%  sharp · at its level
OCWCourses (Minerva) (maker)         12.9%  ▄·····▄█··●▄ beats 4/5    hard · avg 15%       10%  typical
## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md) 
source                                    results  share of the score
Solving Quantitative Reasoning Problems…        4   99% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle                        1% ▇
weighted average                                   = 46.3
Licences: Solving Quantitative Reasoning Problems with Language Models ([CC BY 4.0](../../licenses/paper-2206.14858v2-CC-BY-4-0.txt)) ## How to run it No verified API or local download yet. [interactive version](https://whatmodel.sh/model/minerva-62b) · [JSON](https://whatmodel.sh/api?format=json&all=1)