Inference360

Methodology

The score comes from public benchmark results.

How we make the score

  1. We compare each result with the results of other models on the same benchmark.

  2. We add the results in eight categories. Each category has a weight.

    Agentic
    20%
    Coding
    20%
    Reasoning
    15%
    Multimodal
    10%
    Knowledge
    15%
    Multilingual
    5%
    Instruction
    5%
    Math
    10%

  3. A model gets a score when it has results from 8 benchmarks in 4 categories.

  4. The ± range shows how much a score can change. Lists put models in order by the low end of the range.