llmrun

Qwen1.5 14B Chat — Benchmarks

Benchmark scores for Qwen1.5 14B Chat aggregated from public leaderboards (2 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.

No llmrun Composite Score for Qwen1.5 14B Chat: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.

Qwen1.5 14B Chat knowledge benchmarks

Breadth and depth of factual knowledge across many subjects, paired with the reasoning to apply it.

  • MMLU-Pro

    38.0%

    median 52.0%open leader 88.0%

    Overall best: Gemini-3.1-Pro 91.2%

    28th percentile · #106 of 146 open · #202 of 257 all

    Independent

    TIGER-Lab

Qwen1.5 14B Chat instruction following benchmarks

How precisely a model obeys explicit, verifiable instructions — format, length, and content constraints — and, more broadly, how much people prefer its responses head-to-head in blind human voting.

  • LMArena Text

    1191.1

    median 1321.4open leader 1488.2

    Overall best: Gemini 4 Carbon (High) 1527.5

    21st percentile · #149 of 188 open · #344 of 408 all

    Arena

    Arena ·

Scores aggregated from public benchmark sources (Arena: 1 board, TIGER-Lab: 1 board) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.