Gemma 3 4B

Gemma 3 4B is a model from Google. 4 benchmarks count toward its score, in 4 categories.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.45%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.N/A

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

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.
23.5
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
5.0
MultilingualTasks in many languages.
48.6
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
15.8

Results

4 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 FrenchMultilingual44.4%57.7EuroEval
EuroEval FrenchMultilingual41.9%54.7EuroEval
EuroEval DutchMultilingual41.6%54.3EuroEval
EuroEval DutchMultilingual39.8%52.0EuroEval
EuroEval SwedishMultilingual37.8%49.5EuroEval
EuroEval PortugueseMultilingual37.7%49.4EuroEval
EuroEval PortugueseMultilingual37.5%49.1EuroEval
EuroEval SwedishMultilingual37.1%48.6EuroEval
EuroEval PolishMultilingual37.0%48.5EuroEval
EuroEval ItalianMultilingual36.7%48.1EuroEval
EuroEval ItalianMultilingual35.4%46.6EuroEval
EuroEval PolishMultilingual34.8%45.7EuroEval
EuroEval GermanMultilingual34.0%44.8EuroEval
EuroEval GermanMultilingual33.9%44.7EuroEval
EuroEval SpanishMultilingual31.9%42.1EuroEval
EuroEval SpanishMultilingual30.1%39.9EuroEval
GPQA diamondKnowledge23.2%5.0Epoch AI
OTIS Mock AIME 2024-2025Math7.5%15.8Epoch AI
Chess PuzzlesReasoning0.0%23.5Epoch AI

4 benchmarks count, from 19 of 19 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 authorsEuroEval, collected directlyMIT — the leaderboard site and its CSV routes are in the licensed repositoryEpoch AI, collected directlyCC BY — free to use and redistribute with attribution

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