Llama 3.2 3B Instruct

Llama 3.2 3B 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.$0.05
Output / 1MUS dollars per 1M output tokens.$0.33
ContextMaximum tokens in one request.131K
EloLMArena rating and rank.1109 (#347)

The index is a score out of 100. The ± range shows how much it can change.

7,936 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.
43.3
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 FrenchMultilingual39.2%51.2EuroEval
EuroEval DutchMultilingual38.2%50.0EuroEval
EuroEval PortugueseMultilingual33.6%44.3EuroEval
EuroEval SwedishMultilingual33.0%43.6EuroEval
EuroEval ItalianMultilingual32.5%42.9EuroEval
EuroEval PolishMultilingual31.6%41.8EuroEval
EuroEval GermanMultilingual30.1%40.0EuroEval
EuroEval SpanishMultilingual29.6%39.3EuroEval

1 benchmarks count, from 8 of 8 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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