Meta
partialShows if the model has enough results for an index.Llama 3.1-70B
Llama 3.1-70B is a model from Meta. 4 benchmarks count toward its score, in 3 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.30%
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 Portuguese | Multilingual | 59.3% | 76.3 | — | — | EuroEval |
| EuroEval French | Multilingual | 58.4% | 75.3 | — | — | EuroEval |
| EuroEval Polish | Multilingual | 56.5% | 72.9 | — | — | EuroEval |
| EuroEval German | Multilingual | 52.1% | 67.3 | — | — | EuroEval |
| GPQA diamond | Knowledge | 44.2% | 19.0 | — | — | Epoch AI |
| MATH level 5 | Math | 36.7% | 16.7 | — | — | Epoch AI |
| OTIS Mock AIME 2024-2025 | Math | 3.6% | 13.7 | — | — | Epoch AI |
4 benchmarks count, from 7 of 7 results. A grey row does not count. Too few models took that benchmark.