GaMS-9B-Instruct-Nemotron
CJVTSlovenian model
At a glance
- Rating
- 1,074±50
- 95% interval 1,024–1,124
- Place
- 1
- shared with 3 other models, of 5 ranked models
- Answer length
- 236words
- median, typically 44–563
- Votes
- 210
- 58.1% of decided votes won
Model information
GaMS (Generative Model for Slovene) by the Centre for Language Resources and Technologies of the University of Ljubljana (CJVT). A further fine-tuned version of GaMS-9B-Instruct (Gemma 2 9B).
Statistics
Rating with 95% confidence interval
Grey marks are the models just above and below it on the same scale.
Vote outcomes
- Wins90
- Ties55
- Losses65
- Total queries
- 349
Answer length among models
Median words per answer for every model on the leaderboard, on one axis.
Longer answers than 21 of 29 other models.
All models in numbers
| Model | Median words |
|---|---|
| gpt-oss-120b | 463 |
| Ministral-3-14B-Instruct-2512 | 348 |
| deepseek-r1 | 336 |
| gemini-2.5-pro | 330 |
| Qwen3-Next-80B-A3B-Instruct | 312 |
| gpt-oss-20b | 272 |
| gemini-3-pro-preview | 260 |
| gemini-2.5-flash | 242 |
| GaMS-9B-Instruct-Nemotron | 236 |
| GaMS-27B-Instruct-Nemotron | 226 |
| Mistral-Large-3-675B-Instruct-2512 | 224 |
| deepseek-r1-0528 | 216 |
| GaMS3-12B-Instruct | 198 |
| gpt-5-mini | 160 |
| kimi-k2-instruct | 142 |
| Mistral-Small-24B-Instruct-2501 | 110 |
| gpt-5 | 108 |
| gemma-3-12b-it | 107 |
| bielik-11b-v2.3-instruct | 104 |
| gemma-3-27b-it | 101 |
| gemini-1.5-pro | 100 |
| llama-4-scout-17b-16e-instruct | 91 |
| llama-3.3-70b-instruct | 90 |
| EuroLLM-9B-Instruct | 83 |
| gemini-2.0-flash | 78 |
| llama-4-maverick-17b-128e-instruct | 78 |
| gpt-4o | 68 |
| Zlatorog-12B-Instruct-Beta | 47 |
| GaMS-9B-Instruct | 13 |
| GaMS-27B-Instruct | 10 |