Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is a model from Meta. 1 benchmark counts toward its score, in 1 category.

partialShows if the model has enough results for an index.
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 100
AgenticMulti-step tasks with tools.
N/A
CodingCode writing and repair.
N/A
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
N/A
MultilingualTasks in many languages.
71.4
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
N/A

Results

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 FrenchMultilingual60.1%77.3EuroEval
EuroEval PortugueseMultilingual55.4%71.4EuroEval
EuroEval PolishMultilingual54.3%70.1EuroEval

1 benchmarks count, from 3 of 3 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsOpenRouter, collected directlyNo licence statedEuroEval, collected directlyMIT — the leaderboard site and its CSV routes are in the licensed repository

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