Qwen3.5 4B

Qwen3.5 4B is a model from Alibaba. 2 benchmarks count toward its score, in 2 categories.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.15%
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.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
N/A
MultilingualTasks in many languages.
60.6
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
42.8

Results

2 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.
OTIS Mock AIME 2024-2025Math55.8%42.8none effortEpoch AI
EuroEval ItalianMultilingual53.3%68.9EuroEval
EuroEval FrenchMultilingual51.5%66.6EuroEval
EuroEval SwedishMultilingual48.9%63.3EuroEval
EuroEval PortugueseMultilingual48.7%63.1EuroEval
EuroEval DutchMultilingual44.6%58.1EuroEval
EuroEval PolishMultilingual44.2%57.5EuroEval
EuroEval GermanMultilingual39.7%51.9EuroEval
EuroEval SpanishMultilingual36.8%48.3EuroEval

2 benchmarks count, from 9 of 9 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 authorsEpoch AI, collected directlyCC BY — free to use and redistribute with attributionEuroEval, collected directlyMIT — the leaderboard site and its CSV routes are in the licensed repository

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