whatmodel.sh / ERNIE 5.0 Preview (1203)

ERNIE 5.0 Preview (1203)

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ERNIE 5.0 Preview (1203) is a closed-weights language model from Baidu, released December 2025.

Catalogue identity notes

Comparison-only. Arena entry 'ernie-5.0-preview-1203' (text). Released 2025-12: Baidu ERNIE blog naming ERNIE-5.0-Preview-1203. Dated ERNIE 5.0 text preview snapshot publicly named by Baidu (Baidu pointed to LMArena rather than a Qianfan id).

70.6±3.3comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of ERNIE 5.0 Preview (1203), out of 1132 with a score, then more from Baidu.

#modelscorewhereRAMreleased
91GPT-5.3 Chat (Arena 2026-10-02) OpenAI71±3comparison only
92Qwen3.5 397B-A17B Alibaba71±0api $1.09/M +local~65GB2026-02
93ERNIE 5.0 Preview (1203) Baidu71±3comparison only2025-12
94Ornith 1.5 35B-A3B DeepReinforce71±2local~22GB2026-08
95MiniMax-M3 MiniMax70±1api $0.48/M +local~137GB2026-06
more from Baidu
68ERNIE 5.1 Baidu73±3comparison only2026-05
129ERNIE 5.0 (0110) Baidu68±3comparison only2026-01
144ERNIE 5.0 Preview (1022) Baidu67±3comparison only2025-11

see all LLMs · find the ones that fit your machine

$ what it's good at

chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #68 of 579 * · 95% of its score · 1 test

Beats GPT-6 Luna, Grok 4.7, GPT-5.2 here, though they rank higher overall. Trails Gemma 4 31B, Claude Sonnet 4.5, Gemini 3.5 Flash-Lite here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1448.8 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 312/379avg 1268▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%blunt

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 95%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The 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's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
LMArena leaderboard dataset1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%CC BY 4.0
prior · pull toward the middle▇ 5%
weighted average= 70.6

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json