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| domain | aimac.ai |
| summary | This data compares the performance of various large language models across several metrics. The models are ranked (Rank) and assessed based on two key factors: AIMAC Debt (likely a measure of model accuracy or quality) and Cost (presumably computational cost). The models listed include MiniMax M1, AIMAC Debt, Kimi K2, GLM 4.7, Qwen3 Coder 480B, Claude Opus 4.5 and 4.6, Qwen3 235B, R1, GLM 4.5 Air, Trinity Large Preview, Aurora Alpha, and Qwen3 Max Thinking. GLM 5 achieved the highest rank (1) and lowest AIMAC Debt (2.66) with a cost of 2.03. Claude Opus 4.6 had a high cost (18.34) but also a high AIMAC Debt (6.90). |
| title | AIMAC Leaderboard | AIMAC, the AI Model Accessibility Checker |
| description | AIMAC Leaderboard | AIMAC, the AI Model Accessibility Checker |
| keywords | models, debt, cost, rank, model, accessibility, coder, violations, benchmark, mistral, pareto, preview, open, codex, flash, more, lower |
| upstreams | |
| downstreams | |
| nslookup | A 104.21.61.222, A 172.67.215.193 |
| created | 2026-02-15 |
| updated | 2026-02-15 |
| summarized | 2026-02-16 |
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