Chat leaders
currentGemini 3.1 Pro Preview
AA · May 1, 2026 · aggregate score 92.4 across 2 chat receipts.
Open modelHome · editorial front
A more literate
interface for AI benchmarks.
The attached design included an editorial front. This route keeps it as a first-class reading mode instead of collapsing everything into one dashboard.
Build / data stamp
Read this before trusting a headline.
Data snapshot May 1, 2026Registry verification passed9 providers · 826 tracked modelsPage refreshed May 7, 2026
If this stamp lags behind the repo, you are likely looking at an older build or cached deploy.
Issue 04Unbiased AI BenchEditorial front
Editorial front
Public AI rankings need
a more literate interface.
The point is not to crown one model. The point is to read the record: what was measured, by whom, under which judge, against which comparable group, and how stale the receipt already is.
Operating rules
1
Every score links back to a source page or benchmark receipt.Bias becomes easier to inspect when the system refuses to flatten unlike things together.
2
Percentiles only exist inside exact comparable groups.Bias becomes easier to inspect when the system refuses to flatten unlike things together.
3
Coverage gaps stay visible instead of being quietly filled in.Bias becomes easier to inspect when the system refuses to flatten unlike things together.
4
Parser anomalies and mapping fixes stay in the changelog.Bias becomes easier to inspect when the system refuses to flatten unlike things together.
Coding leaders
currentGPT-5.5
#1GPT-5.574.6%
#2DeepSeek Reasoner73.8%
#3Gemini 2.0 Pro Experimental70.9%
SL · Apr 29, 2026 · aggregate score 74.6 across 7 coding receipts.
Open compareFreshest source
opsArtificial Analysis
Parsed 808 Artificial Analysis records across 298 page-backed models and 94 multimodal leaderboard models.
Open sourceA leaderboard without its measurement context is just a stronger-looking opinion. This product keeps the context on the page.
Method
Why percentiles only exist inside exact comparable groups
We normalize only when the underlying unit, judge, and benchmark version actually line up.
Read methodology →Compare
Head-to-head beats universal ranking when the surface is uneven
Comparisons stay grounded in shared coverage, raw values, and visible gaps instead of a universal scalar.
Open compare →Operations
Changelog entries matter because data plumbing changes outcomes
Parser fixes, mapping corrections, and source updates change what appears true. They need their own paper trail.
Open changelog →