whatmodel.sh / Hunyuan Turbo (0110)

Hunyuan Turbo (0110)

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Hunyuan Turbo (0110) is a closed-weights language model from Tencent. Licence: proprietary.

Catalogue identity notes

Exact Arena entry 'hunyuan-turbo-0110' in the October 2026 pinned dataset. Comparison identity; no public run route inferred from leaderboard inclusion.

58.3±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 Turbo (0110), out of 1132 with a score, then more from Tencent.

#modelscorewhereRAMreleased
325gpt-oss-20b OpenAI58±1api $0.13/M +local~14GB2025-08
326Llama 3.3 Nemotron Super 49B v1 NVIDIA58±2local~22GB2025-03
327Hunyuan Turbo (0110) Tencent58±3comparison only
328Arch-Agent-32B Katanemo58±5local~21GB2025-06
329Olmo 3.1 32B Think Ai258±1local~21GB2025-12
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▁▁▁▃▅▅▆█▆▆▆▂ #233 of 579 * · 95% of its score · 1 test

Beats MiniCPM5 2B, Seed-OSS 36B Instruct, GPT-5 nano here, though they rank higher overall. Trails LFM2.5 1.2B Instruct, LFM2.5 1.2B Thinking, Gemma 3 12B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1340.7 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 178/379avg 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= 58.3

$ 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