[whatmodel.sh](../../README.md) / Gemini 1.5 Pro Experimental (0801) # Gemini 1.5 Pro Experimental (0801) Google · released 2024-08 · proprietary **score 56.1** ±0.9 · comparison only: no current run option verified · from 5 benchmark results across 2 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Gemini 1.5 Pro Experimental (0801) among every model on that task or test, worst to best. 
task    vs the others          rank  counts  tests
coding  ▁▁▁▃▄▆█●▅▄▃▁   #233 of 539*     17%      1
math    ▁▁▃▆█●▅█▃▁▁▁   #305 of 530*    5.0%      1
coding · #233 of 539 · 17% of its score Beats [Gemini 2.5 Flash](gemini-2-5-flash.md), [Qwen3 30B-A3B Instruct 2507](qwen3-30b-a3b-instruct-2507.md), [Qwen3.5 4B](qwen3-5-4b.md) here, though they rank higher overall. Trails [QwQ-32B-Preview](qwq-32b-preview.md), [DeepSeek-Coder-V2 Instruct (0724)](deepseek-coder-v2-0724.md), [Ministral 3 8B Reasoning 2512](ministral-3-8b-reasoning.md) here, though they rank lower overall. 
test                               result  vs the others in its run  difficulty        counts  why
CRUXEval (ZeroEval, 800 problems)   74.9%  ▁▂▆▃▆█●▃▂·▁▁ beats 36/47  medium · avg 57%     17%  sharp · at its level
math · #305 of 530 · 5.0% of its score Beats [Command A (03-2025)](command-a.md), [GPT-4o (2024-05-13)](gpt-4o-2024-05-13.md), [GPT-4o (2024-11-20)](gpt-4o-2024-11-20.md) here, though they rank higher overall. Trails [DeepSeek R1 Distill Qwen 1.5B](deepseek-r1-distill-qwen-1-5b.md), [Gemma 7B (base)](gemma-7b-base.md), [CodeGemma 7B (v1.0)](codegemma-7b.md) here, though they rank lower overall. 
test                         result  vs the others in its run  difficulty           counts  why
GSM8K (ZeroEval, zero-shot)   95.0%  ▁▄·▁▄█▅▅▅█●█ beats 35/43  very easy · avg 87%    5.0%  sharp · maxed out
other tests (3) 
test                                result  vs the others in its run  difficulty        counts  why
LiveBench 2024-07-26                 52.2%  ▁▁▁▂▂▃▂█▆▃●▃ beats 55/61  medium · avg 38%     35%  at its level
MMLU-Redux (ZeroEval, 2,778 quest…   85.5%  ▁·▁▁▄▄▄▅█●▂▁ beats 44/53  easy · avg 75%       26%  typical
ZebraLogic (ZeroEval, 1,000 puzzl…   25.2%  ▁▁▃▆█●▁▁·▁▁▁ beats 39/57  hard · avg 15%       17%  sharp · at its level
## 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
WildEval ZeroEval published results        4   65% ▇▇▇▇▇▇▇▇
LiveBench model judgments                  1   35% ▇▇▇▇
prior: pull toward the middle                   0% ▇
weighted average                              = 56.1
Licences: WildEval ZeroEval published results ([Apache-2.0](../../licenses/zeroeval-published-results-Apache-2.0.txt)) · LiveBench model judgments ([Apache-2.0 (stated in the LiveBench datasheet)](https://www.apache.org/licenses/LICENSE-2.0)) ## How to run it No verified API or local download yet. [interactive version](https://whatmodel.sh/model/gemini-1-5-pro-exp-0801) · [JSON](https://whatmodel.sh/api?format=json&all=1)