llmrun

DeepSeek R1 Distill Qwen 32B — Benchmarks

Benchmark scores for DeepSeek R1 Distill Qwen 32B aggregated from public leaderboards (3 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.

llmrun Composite Score →

97.2

90% range 93.2–101.1 · from 3 boards

DeepSeek R1 Distill Qwen 32B reasoning benchmarks

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

  • GPQA Diamond

    64.1%

    median 54.0%open leader 93.1%

    Overall best: Gemini 4 Argon (high) 96.4%

    61st percentile · #39 of 98 open · #194 of 300 all

    Independent

    Epoch AI ·

  • BALROG

    19.5%

    median 16.2%open leader 34.9%

    Overall best: GPT 6 Astra Max 68.3%

    71st percentile · #5 of 15 open · #27 of 40 all

    Independent

    Epoch AI ·

DeepSeek R1 Distill Qwen 32B math benchmarks

Symbolic and quantitative problem-solving, from competition math to multi-step calculation.

  • AIME 2024/2025

    55.6%

    median 52.8%open leader 98.6%

    Overall best: Claude Fable 5 (high) 100.0%

    52nd percentile · #42 of 86 open · #177 of 283 all

    Independent

    Epoch AI ·

Score vs VRAM in the 24 GB tier

  • DeepSeek R1 Distill Qwen 32B
  • Other models
  • Best Score for its VRAM

#13 of 35 that fit 24 GB

Each dot is a model at the best quant that fits a 24 GB GPU. The line joins the models with the best Score for their VRAM; a dot below it is beaten by a model that needs no more memory.

Full 24 GB ranking →

DeepSeek R1 Distill Qwen 32B vs its neighbours

Same boards for the nearest open models per llmrun Score and the best model that fits 24 GB. The highest score in each row is marked.

BoardDeepSeek R1 Distill Qwen 32Bthis modelQwen3.8 27Bbest in classQ4_K_M · 18 GBQwen3 14Bnearest by ScoreQ4_K_M · 12 GBQwen3 30B A3B Instruct 2507nearest by ScoreQ4_K_M · 19 GBGPT OSS 20Bnearest by ScoreQ4_K_M · 13 GB
llmrun Score97.2122.198.096.796.3
GPQA Diamond64.1%—63.8%55.6%60.8%
AIME 2024/202555.6%—66.4%62.2%65.3%
Compare head to headCompareCompareCompareCompare

Scores aggregated from public benchmark sources (Epoch AI: 3 boards) — 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.