llmrun

Qwen3 1.7B — Benchmarks

Benchmark scores for Qwen3 1.7B 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 Qwen3 1.7B: 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.

Qwen3 1.7B reasoning benchmarks

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

  • GPQA Diamond

    38.0%

    median 54.0%open leader 93.1%

    Overall best: Gemini 4 Argon (high) 96.4%

    27th percentile · #72 of 98 open · #260 of 300 all

    Independent

    Epoch AI ·

Qwen3 1.7B math benchmarks

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

  • AIME 2024/2025

    8.1%

    median 52.8%open leader 98.6%

    Overall best: Claude Fable 5 (high) 100.0%

    30th percentile · #61 of 86 open · #237 of 283 all

    Independent

    Epoch AI ·

Scores aggregated from public benchmark sources (Epoch AI: 2 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.