GPT-4.1
80.6%
no interval published
aiqbench · LLM benchmarks
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Released:
GPT-4o (March 2025, chatgpt-4o-latest)
80.3%
no interval published
GPT-4.1 mini
78.1%
no interval published
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 82 | GPT-4.1 | openai | Apr 2025 | $2 / $8 | 80.6% | — | #148–546 | ||
| 87 | GPT-4o (March 2025, chatgpt-4o-latest) | openai | May 2024 | $2.50 / $10 | 80.3% | — | #154–959 | ||
| 108 | GPT-4.1 mini | openai | Apr 2025 | $0.40 / $1.60 | 78.1% | — | #130–586 | ||
| 164 | GPT-4 Turbo | openai | Apr 2024 | $10 / $30 | 69.4% | — | #227–922 | ||
| 182 | GPT-4.1 nano | openai | Apr 2025 | $0.10 / $0.40 | 65.7% | — | #197–987 | ||
| 185 | GPT-4o mini | openai | Jul 2024 | $0.15 / $0.60 | 64.8% | — | #235–1023 | ||
| 210 | GPT-4 | openai | Mar 2023 | $30 / $60 | 56.2% | — | — |
Showing MMLU-Pro (Artificial Analysis) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.