Meta
partialShows if the model has enough results for an index.Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is a model from Meta. 1 benchmark counts toward its score, in 1 category.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.5%
SpeedOutput tokens per second.13/s
Input / 1MUS dollars per 1M input tokens.$0.1
Output / 1MUS dollars per 1M output tokens.$0.32
ContextMaximum tokens in one request.131K
EloLMArena rating and rank.1274 (#262)
The index is a score out of 100. The ± range shows how much it can change.
54,412 votes. Elo shows what people prefer. It does not change the score.
CapabilitiesScore per category, out of 100.
Out of 100Results
1 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 French | Multilingual | 60.1% | 77.3 | — | — | EuroEval |
| EuroEval Portuguese | Multilingual | 55.4% | 71.4 | — | — | EuroEval |
| EuroEval Polish | Multilingual | 54.3% | 70.1 | — | — | EuroEval |
1 benchmarks count, from 3 of 3 results. A grey row does not count. Too few models took that benchmark.