Qwen3 14B No Thinking

Qwen3 14B No Thinking is a model from Alibaba. 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.
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.
66.2
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 FrenchMultilingual57.1%73.6no-thinking effortEuroEval
EuroEval DutchMultilingual54.4%70.2no-thinking effortEuroEval
EuroEval SwedishMultilingual53.2%68.7no-thinking effortEuroEval
EuroEval PortugueseMultilingual52.0%67.2no-thinking effortEuroEval
EuroEval ItalianMultilingual50.3%65.2no-thinking effortEuroEval
EuroEval PolishMultilingual50.1%64.8no-thinking effortEuroEval
EuroEval SpanishMultilingual48.7%63.1no-thinking effortEuroEval
EuroEval GermanMultilingual47.1%61.1no-thinking effortEuroEval

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 authorsEuroEval, collected directlyMIT — the leaderboard site and its CSV routes are in the licensed repository

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