Llama 3.2 1B Instruct

Llama 3.2 1B 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.40/s
Input / 1MUS dollars per 1M input tokens.$0.027
Output / 1MUS dollars per 1M output tokens.$0.201
ContextMaximum tokens in one request.60K
EloLMArena rating and rank.1055 (#375)

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

8,045 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.
18.3
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 FrenchMultilingual15.7%21.9EuroEval
EuroEval DutchMultilingual15.0%21.1EuroEval
EuroEval PortugueseMultilingual14.0%19.8EuroEval
EuroEval GermanMultilingual13.2%18.8EuroEval
EuroEval SwedishMultilingual12.3%17.8EuroEval
EuroEval SpanishMultilingual12.3%17.7EuroEval
EuroEval ItalianMultilingual11.7%17.0EuroEval
EuroEval PolishMultilingual9.7%14.4EuroEval

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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