[whatmodel.sh](../../README.md) / Step 5 Preview # Step 5 Preview StepFun · proprietary **score 72.9** ±1.3 · comparison only: no current run option verified · from 4 benchmark results across 1 source Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks Step 5 Preview among every model on that task or test, worst to best.}

task                vs the others         rank  counts  tests
agent tasks         ▁▁▂▆█▄▅▄▄●▁▁   #48 of 354*     42%      1
coding              ▁▁▁▃▄▆█▇▅▄●▁   #39 of 539*     29%      1
chat & writing      ▁▁▁▃▅▄▇█▇▇●▃   #63 of 474*     17%      1
vision & documents  ▁▁▂▃▂▃▅▄▆●█▄   #55 of 189*     11%      1

agent tasks · #48 of 354 · 42% of its score

Beats [Gemini 3.1 Pro (Preview)](gemini-3-1-pro.md), [Qwen3.8-Omni-Flash](qwen3-8-omni-flash.md), [Qwen3.8-Flash-Next](qwen3-8-flash-next.md) here, though they rank higher overall. Trails [Claude Sonnet 4.6](claude-sonnet-4-6.md), [GLM-5.2](glm-5-2.md), [GLM-5.3-Flash](glm-5-3-flash.md) here, though they rank lower overall.

test                                     result  vs the others in its run  difficulty      counts  why
Arena Agent (October 2026 aggrega…  -0.0268 IPS  ▁▁▁▃▃●█▁▂▂▁▁ beats 19/59  avg -0.379 IPS     42%  sharp

coding · #39 of 539 · 29% of its score

Beats [GPT-5.5](gpt-5-5.md), [GPT-5.6 Terra](gpt-5-6-terra.md), [Claude Opus 4.8](claude-opus-4-8.md) here, though they rank higher overall. Trails [Qwen3.8 27B](qwen3-8-27b.md), [GLM-5.2](glm-5-2.md), [GLM-5.3-Flash](glm-5-3-flash.md) here, though they rank lower overall.

test                       result  vs the others in its run   difficulty  counts  why
Arena WebDev (Code Arena)  1571.0  ▁▁▃▂▅█▃▆●▅▁▂ beats 91/129  avg 981        29%  sharp

chat & writing · #63 of 474 · 17% of its score

Beats [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md), [Claude Haiku 5.5](claude-haiku-5-5.md), [GPT-6 Luna](gpt-6-luna.md) here, though they rank higher overall. Trails [Gemma 4 31B](gemma-4-31b.md), [Claude Sonnet 4.5](claude-sonnet-4-5.md), [Gemini 3.5 Flash-Lite](gemini-3-5-flash-lite.md) here, though they rank lower overall.

test            result  vs the others in its run    difficulty  counts  why
LMArena (text)  1448.4  ▁▁▁▂▃▃▃▆▆▇●▃ beats 318/385  avg 1260       17%  blunt

vision & documents · #55 of 189 · 11% of its score

Beats [MiMo-V2.6-Pro](mimo-v2-6-pro.md), [MiMo-V2.6-Flash (309B-A15B)](mimo-v2-6-flash.md), [GPT-6 Luna](gpt-6-luna.md) here, though they rank higher overall. Trails [Qwen3.6 Flash](qwen3-6-flash.md), [Gemini 3.5 Flash-Lite](gemini-3-5-flash-lite.md), [Kimi K2.5](kimi-k2-5.md) here, though they rank lower overall.

test                             result  vs the others in its run    difficulty  counts  why
Arena vision (style controlled)  1247.2  ▁▁▂▂▂▂▃▄▅▅●▇ beats 103/152  avg 1061       11%  blunt

## 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
LMArena leaderboard dataset          4   99% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle             1% ▇
weighted average                        = 72.9

_{Licences: LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/))} ## How to run it No verified API or local download yet. [interactive version](https://whatmodel.sh/model/step-5-preview) · [JSON](https://whatmodel.sh/api?format=json&all=1)