whatmodel.sh / Hunyuan Standard 256K

Hunyuan Standard 256K

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Hunyuan Standard 256K is a closed-weights language model from Tencent. Licence: proprietary.

Catalogue identity notes

Exact Arena entry 'hunyuan-standard-256k' in the October 2026 pinned dataset. Comparison identity; no public run route inferred from leaderboard inclusion.

46.0±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 Hunyuan Standard 256K, out of 1132 with a score, then more from Tencent.

#modelscorewhereRAMreleased
700Command R (08-2024) Cohere46±1api $0.26/M +local~21GB2024-08
701GPT-3.5 Turbo (0301) OpenAI46±1comparison only2023-03
702Hunyuan Standard 256K Tencent46±3comparison only
703Nova Micro Amazon46±2api $0.061/M2024-12
704T5 Base Google46±9local~2.4GB2019-10
more from Tencent
16Hy4 preview (770B-A49B) Tencent79±1api $1.25/M +local~248GB2026-08
57Hunyuan Hy3 (295B-A21B) Tencent74±1api $0.23/M +local~96GB2026-07
139Hy3 preview (295B-A21B) Tencent68±1local~629GB2026-04

see all LLMs · find the ones that fit your machine

$ what it's good at

chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #414 of 579 * · 95% of its score · 1 test

Beats Ministral 3 14B Reasoning 2512, Gemma 4 E4B, OpenThinker3 7B here, though they rank higher overall. Trails Flan-T5 XXL, LFM2 700M, EXAONE 3.5 2.4B Instruct here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1233.2 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 84/379avg 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= 46.0

$ 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