Evidence-based AI model rankings, selection, comparison, and real-task evaluation from public data. Verifiable reports. Independent and provider-neutral.
A ranking should be inspectable, not purchasable.
OpenGPT keeps source scales separate, treats missing data as unreported, not zero, and links the evidence behind each position. No provider can pay for placement.
https://t.co/4GrWgaZaTF #AIBenchmark
Verification should show what it proves—and what it doesn't.
OpenGPT checks Evidence v1/v2 and Decision Workspace V3 JSON locally, with no API or upload. V3 can recompute hashes, assignments, mappings, scores, and summaries.
https://t.co/54v9MK6qXl
Leaderboard movement is source-specific, not proof of broad model quality.
OpenGPT compares exact publisher records across snapshots, separates first appearances from rank gains, and preserves history with SHA-256 checks.
https://t.co/ZbSL0EjoTe
Choose by task, not one universal leaderboard.
OpenGPT surfaces three official model versions to test first for 10 work scenarios. Public signals and limits stay visible. Validate on your prompts and constraints.
https://t.co/twghjQJ6jg
Compare versions, not family names.
OpenGPT puts 2–4 exact AI model versions side by side using published ranking data and official access information. Source scales stay separate; missing data is never treated as zero.
https://t.co/MwKv7DZFv9
Rankings are a starting point, not the decision.
OpenGPT real-task evaluation lets you compare two exact model versions on the same work, review answers with model names hidden, and keep progress local in your browser.
https://t.co/vF0ZHtFvI9
Model rankings change. Your shortlist should not restart from zero every time.
OpenGPT Upgrade Radar lets you track saved models, recurring tasks, and evidence-bounded switch signals. No account required.
https://t.co/NvFdHWUsI9
OpenGPT is a provider-neutral workspace for AI model rankings, selection, comparison, and real-task evaluation. Explore transparent public data and verifiable reports before choosing a model for real work: https://t.co/q6ja8OcqEx