Skip to content

aiqbench · insight feed

Cross-axis insights

Editorial sentences summarising the notable cross-axis findings computed elsewhere on this site — top divergent performers, frontier-setting models, weight-sensitive rankings, and the shape of axis correlations. Every claim is a computed fact; every phrasing is verifiable in one click.

Biggest finding

rank swinggranite-4.1-8b

granite-4.1-8b ranks between #150 and #978 across 6 built-in weightings — best under "Agentic", worst under "All sources".

Verify →
17 of 17 insights · updated 2026-10-18
  • rank swinggpt-4o-2024-05-13

    gpt-4o-2024-05-13 ranks between #154 and #955 across 6 built-in weightings — best under "Agentic", worst under "All sources".

    Verify →
    Agentic · All sources
  • rank swinggpt-4.1-nano-2025-04-14

    gpt-4.1-nano-2025-04-14 ranks between #197 and #987 across 5 built-in weightings — best under "Coding-focused", worst under "All sources".

    Verify →
    Coding-focused · All sources
  • rank swinggpt-4o-mini-2024-07-18

    gpt-4o-mini-2024-07-18 ranks between #236 and #1,023 across 5 built-in weightings — best under "Coding-focused", worst under "All sources".

    Verify →
    Coding-focused · All sources
  • rank swinggrok-4-fast-reasoning

    grok-4-fast-reasoning ranks between #157 and #936 across 6 built-in weightings — best under "Agentic", worst under "All sources".

    Verify →
    Agentic · All sources
  • divergenceGemini 3.7 Flash (High)

    Gemini 3.7 Flash (High) shows a 93.4-point percentile gap across 13 covered axes: 97.7 on GPQA Diamond versus 4.3 on Terminal-Bench 4.0.

    Verify →
    GPQA Diamond · Terminal-Bench 4.0
  • divergencegpt-5.4-nano-high

    gpt-5.4-nano-high shows a 93-point percentile gap across 14 covered axes: 99 on HHEM Hallucination (Vectara) versus 6.1 on SimpleQA Verified.

    Verify →
    HHEM Hallucination (Vectara) · SimpleQA Verified
  • frontiergpt-5.4-pro-2026-03-05

    On FrontierMath, gpt-5.4-pro-2026-03-05 raised the running best score by 9.3 percentage points to 50% on 2026-03-05.

    Verify →
    FrontierMath
  • divergencegpt-5.1-high

    gpt-5.1-high shows a 92.1-point percentile gap across 22 covered axes: 97.3 on LiveCodeBench (Artificial Analysis) versus 5.3 on Document Arena.

    Verify →
    LiveCodeBench (Artificial Analysis) · Document Arena
  • divergenceGrok 4 Fast (Reasoning)

    Grok 4 Fast (Reasoning) shows a 90.6-point percentile gap across 5 covered axes: 93.5 on LiveCodeBench (Artificial Analysis) versus 2.9 on WebDev Arena.

    Verify →
    LiveCodeBench (Artificial Analysis) · WebDev Arena
  • divergenceo4-mini-2025-04-16

    o4-mini-2025-04-16 shows a 90.6-point percentile gap across 20 covered axes: 97.6 on LiveBench versus 7 on Factuality Arena.

    Verify →
    LiveBench · Factuality Arena
  • correlation

    2 correlation-linked groups emerged; the largest spans 37 axes with median pairwise r of 0.89; 5 axes remain singletons with adequate coverage but no cluster-worthy correlation; 9 axes have insufficient overlap to cluster honestly.

    Verify →
  • frontiergpt-6-astra

    On ARC-AGI-2, gpt-6-astra raised the running best score by 4.6 percentage points to 95% on 2026-09-13.

    Verify →
    ARC-AGI-2
  • frontierclaude-opus-4-7

    On SWE-bench Verified, claude-opus-4-7 raised the running best score by 4.1 percentage points to 83.5% on 2026-09-13.

    Verify →
    SWE-bench Verified
  • frontiergpt-5.6-sol

    On OTIS Mock AIME, gpt-5.6-sol raised the running best score by 0.8 percentage points to 100% on 2026-09-13.

    Verify →
    OTIS Mock AIME
  • frontiergemini-4-argon

    On GPQA Diamond, gemini-4-argon raised the running best score by 0.6 percentage points to 96.4% on 2026-10-13.

    Verify →
    GPQA Diamond
  • frontiergemini-4-argon

    On SimpleQA Verified, gemini-4-argon raised the running best score by 0.4 percentage points to 76% on 2026-10-13.

    Verify →
    SimpleQA Verified

How these sentences are made

The FACTS are computed deterministically from the current database — numbers, model names, axis labels. A low-temperature LLM phrases each fact into one sentence, and a validation gate rejects any output that adds a number, superlative, or causal claim the struct didn't carry (falling back to a deterministic template phrasing on any failure). The prose is a convenience over the numbers, never a replacement — every insight ships with a 'verify' link to the underlying data.

How the leaderboards work →