Llama 3.1 8B Instruct

Llama 3.1 8B 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.27/s
Input / 1MUS dollars per 1M input tokens.$0.05
Output / 1MUS dollars per 1M output tokens.$0.08
ContextMaximum tokens in one request.131K
EloLMArena rating and rank.1186 (#313)

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

49,605 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.
54.3
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 DutchMultilingual46.8%60.8EuroEval
EuroEval FrenchMultilingual46.7%60.6EuroEval
EuroEval SwedishMultilingual43.0%56.0EuroEval
EuroEval PortugueseMultilingual42.4%55.3EuroEval
EuroEval ItalianMultilingual40.9%53.4EuroEval
EuroEval PolishMultilingual40.8%53.3EuroEval
EuroEval SpanishMultilingual38.6%50.5EuroEval
EuroEval GermanMultilingual37.0%48.5EuroEval

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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