Inference
EN

EuroLLM 9B Instruct 2512

EuroLLM 9B Instruct 2512 is a model. It has 1 scored result in 1 category. It has no index.

  • Input: text
UnrankedEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.5%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.—Median 262K
EloLMArena rating and rank.—Median 1422

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.None counted——
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.None counted——
MultilingualTasks in many languages.1 counted31.4—
InstructionTasks with strict prompt rules.None counted——
MathMath problems.None counted——

Results

1 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
EuroEval DutchMultilingual47.1% ±0.675 / 175
EuroEval PortugueseMultilingual46.1% ±0.681 / 182
EuroEval ItalianMultilingual45.0% ±0.780 / 174
EuroEval FrenchMultilingual49.7% ±0.585 / 178
EuroEval SwedishMultilingual42.2% ±0.996 / 195
EuroEval GermanMultilingual35.5% ±0.697 / 191
EuroEval SpanishMultilingual35.4% ±0.793 / 176
EuroEval PolishMultilingual39.1% ±0.7117 / 209

Sources

BenchLMCC BY-NC 4.0EuroEvalMIT