[whatmodel.sh](../../README.md) / Gemini 2.5 Pro Preview (03-25) # Gemini 2.5 Pro Preview (03-25) Google · released 2025-04 · proprietary **score 66.2** ±1.8 · comparison only: no current run option verified · from 3 benchmark results across 3 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Gemini 2.5 Pro Preview (03-25) among every model on that task or test, worst to best. 
task         vs the others          rank  counts  tests
agent tasks  ▁▁▂▆█▄●▄▄▃▁▁   #165 of 354*    3.3%      1
coding       ▁▁▁▃▄▆█▇●▄▃▁   #131 of 539*     95%      2
agent tasks · #165 of 354 · 3.3% of its score Trails [SmolLM3 3B](smollm3-3b.md), [Jamba 1.5 Large](jamba-1-5-large.md), [GPT-4o (2024-05-13)](gpt-4o-2024-05-13.md) here, though they rank lower overall. 
test                                result  vs the others in its run  difficulty      counts  why
Galileo Agent Leaderboard v1 (too…   94.1%  ▃▃▃▃▆▅▆▅█▂●▂ beats 30/31  easy · avg 78%    3.3%  typical
coding · #131 of 539 · 95% of its score Beats [Grok 4.3](grok-4-3.md), [Qwen3.5 Plus](qwen3-5-plus.md), [DeepSeek V3.2](deepseek-v3-2.md) here, though they rank higher overall. Trails [Llama 3.1 Nemotron Ultra 253B v1](llama-3-1-nemotron-ultra-253b.md), [Solar Pro 4](solar-pro-4.md), [Laguna XS 2.1 (33B-A3B)](laguna-xs-2-1.md) here, though they rank lower overall. 
test                                result  vs the others in its run  difficulty            counts  why
Aider polyglot (225 exercises, tw…   72.9%  ▂·▂▃▅▂▃█▆●▂▂ beats 42/49  very hard · avg 7.6%     78%  sharp · at its level
WebApp1K-Duo-React pass@1 (onekq-…   58.7%  ▁··▁·▁▁▁●█▇█ beats 13/45  hard · avg 29%           17%  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
Aider polyglot benchmark runs        1   78% ▇▇▇▇▇▇▇▇▇
WebApp1K models leaderboard          1   17% ▇▇
Galileo Agent Leaderboard            1    3% ▇
prior: pull toward the middle             1% ▇
weighted average                        = 66.2
Licences: Aider polyglot benchmark runs ([Apache-2.0](../../licenses/aider-polyglot-runs-Apache-2.0.txt)) · WebApp1K models leaderboard ([MIT](../../licenses/webapp1k-leaderboard-MIT.txt)) · Galileo Agent Leaderboard ([Apache-2.0](../../licenses/galileo-agent-leaderboard-Apache-2.0.txt)) ## How to run it No verified API or local download yet. [interactive version](https://whatmodel.sh/model/gemini-2-5-pro-preview-03-25) · [JSON](https://whatmodel.sh/api?format=json&all=1)