llmrun

Qwen1.5 32B Chat — Benchmarks

Benchmark scores for Qwen1.5 32B 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 32B 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 32B Chat reasoning benchmarks

Multi-step logic and problem-solving — can the model think through a hard problem rather than recall an answer.

  • GPQA Diamond

    30.7%

    median 55.7%open leader 93.2%

    Overall best: Gemini 4 Argon (high) 96.4%

    18th percentile · #82 of 100 open · #285 of 309 all

    Independent

    Epoch AI ·

Qwen1.5 32B 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

    1204.1

    median 1321.4open leader 1488.2

    Overall best: Gemini 4 Carbon (High) 1527.5

    23rd percentile · #145 of 188 open · #339 of 408 all

    Arena

    Arena ·

Scores aggregated from public benchmark sources (Epoch AI: 1 board, Arena: 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.