whatmodel.sh / Hunyuan-TurboS (20250226)
Hunyuan-TurboS (20250226)
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Hunyuan-TurboS (20250226) is a closed-weights language model from Tencent, released February 2025.
Catalogue identity notes
Comparison-only. Arena entry 'hunyuan-turbos-20250226' (text). LMArena's leaderboard table (arena-leaderboard space @6f2eeeb) labels 'hunyuan-turbos-20250226' as 'Hunyuan-TurboS-20250226' (Tencent, Proprietary), linking https://cloud.tencent.com/document/product/1729/104753. Released 2025-02: Tencent Cloud Hunyuan version changelog (document 1729/97765) / date in the API id. Exact dated Tencent Cloud API snapshot hunyuan-turbos-20250226. Retired.
$ how it compares
The LLMs ranked either side of Hunyuan-TurboS (20250226), out of 1132 with a score, then more from Tencent.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 303 |  FuseChat-Qwen-2.5-7B-Instruct | 59±2 | local | ||
| 304 |  Gemma 2 9B IT SimPO | 59±1 | local | ||
| 305 | Hunyuan-TurboS (20250226) | 59±3 | comparison only | ||
| 306 |  Amazon Nova Experimental Chat (10-20) | 59±3 | comparison only | ||
| 307 |  ToolACE-2-Llama-3.1-8B | 59±4 | local | ||
| more from Tencent | |||||
| 16 |  Hy4 preview (770B-A49B) | 79±1 | api $1.25/M +local | ||
| 57 | Hunyuan Hy3 (295B-A21B) | 74±1 | api $0.23/M +local | ||
| 139 | Hy3 preview (295B-A21B) | 68±1 | local | ||
$ what it's good at
chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #214 of 579 * · 95% of its score · 1 test
Beats MiniMax-M2, MiniCPM5 2B, Granite 4.2 30B here, though they rank higher overall. Trails LFM2.5 1.2B Thinking, LFM2.5 8B-A1B, LFM2.5 2.6B here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena (text) | 1348.9 ✎ | ▁▁▁▂▃▃▃▆▆▇█▃ beats 192/379 | 95% |
$ 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
| source | results | share of the score |
|---|---|---|
 LMArena leaderboard dataset | 1 | 95% |
| prior · pull toward the middle | 5% | |
| weighted average | = 59.2 |
$ improve this page
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