llmrun

Step 3.7 Flash — Benchmarks

Benchmark scores for Step 3.7 Flash 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 Step 3.7 Flash: 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.

Step 3.7 Flash reasoning benchmarks

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

  • CritPt

    2.3%

    median 1.1%open leader 26.6%

    Overall best: GPT 5.6 Sol Max 32.3%

    60th percentile · #27 of 66 open · #145 of 219 all

    Lab-reported

    Epoch AI ·

Step 3.7 Flash coding benchmarks

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

  • SciCode

    40.1%

    median 38.7%open leader 60.9%

    Overall best: Claude Opus 5.5 Max 66.9%

    55th percentile · #31 of 66 open · #161 of 207 all

    Lab-reported

    Epoch AI ·

  • ALE-Bench

    694.1

    median 694.1open leader 1524.5

    Overall best: GPT 6 Astra Max 2951.3

    50th percentile · #22 of 43 open · #83 of 122 all

    Lab-reported

    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.