llmrun

Qwen2 VL 7B Instruct — Benchmarks

Benchmark scores for Qwen2 VL 7B Instruct aggregated from public leaderboards (1 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 Qwen2 VL 7B Instruct: 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.

Qwen2 VL 7B Instruct reasoning benchmarks

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

  • BALROG

    3.7%

    median 16.2%open leader 34.9%

    Overall best: GPT 6 Astra Max 68.3%

    lowest · #15 of 15 open · #40 of 40 all

    Independent

    Epoch AI ·

Scores aggregated from public benchmark sources (Epoch AI: 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.