llmrun

Qwen3 Coder Next — Benchmarks

Benchmark scores for Qwen3 Coder Next 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.

No llmrun Composite Score for Qwen3 Coder Next: 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 Coder Next reasoning benchmarks

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

  • CritPt

    0.0%

    median 1.1%open leader 26.6%

    Overall best: GPT 5.6 Sol Max 32.3%

    15th percentile · #65 of 66 open · #217 of 219 all

    Lab-reported

    Epoch AI ·

Qwen3 Coder Next coding benchmarks

Writing, editing, and fixing real code — measured by whether the resulting program actually runs and passes tests.

  • SciCode

    32.3%

    median 38.7%open leader 60.9%

    Overall best: Claude Opus 5.5 Max 66.9%

    23rd percentile · #51 of 66 open · #188 of 207 all

    Lab-reported

    Epoch AI ·

  • WeirdML

    34.4%

    median 39.5%open leader 82.6%

    Overall best: GPT 6 Astra Promax 93.6%

    22nd percentile · #36 of 46 open · #134 of 162 all

    Independent

    Epoch AI ·

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.