Meta
partialShows if the model has enough results for an index.Llama 3.2 1B
Llama 3.2 1B is a model from Meta. 4 benchmarks count toward its score, in 4 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.45%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
4 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| EuroEval Dutch | Multilingual | 25.3% | 33.9 | — | — | EuroEval |
| EuroEval French | Multilingual | 24.2% | 32.6 | — | — | EuroEval |
| GPQA diamond | Knowledge | 23.9% | 5.0 | — | — | Epoch AI |
| EuroEval Swedish | Multilingual | 21.8% | 29.6 | — | — | EuroEval |
| EuroEval Polish | Multilingual | 19.9% | 27.2 | — | — | EuroEval |
| EuroEval Portuguese | Multilingual | 19.6% | 26.9 | — | — | EuroEval |
| EuroEval Spanish | Multilingual | 15.1% | 21.2 | — | — | EuroEval |
| EuroEval Italian | Multilingual | 14.7% | 20.7 | — | — | EuroEval |
| EuroEval German | Multilingual | 13.3% | 19.0 | — | — | EuroEval |
| OTIS Mock AIME 2024-2025 | Math | 0.6% | 12.0 | — | — | Epoch AI |
| Chess Puzzles | Reasoning | 0.0% | 23.5 | — | — | Epoch AI |
4 benchmarks count, from 11 of 11 results. A grey row does not count. Too few models took that benchmark.