GPT-4.1
43.0%
no interval published
aiqbench · LLM benchmarks
43.0%
no interval published
38.3%
no interval published
36.0%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 171 | GPT-4.1 | openai | Apr 2025 | $2 / $8 | 43.0% | — | #148–545 | ||
| 207 | GPT-4.1 mini | openai | Apr 2025 | $0.40 / $1.60 | 38.3% | — | #130–589 | ||
| 228 | GPT-4o (Aug '24) | openai | May 2024 | $2.50 / $10 | 36.0% | — | #154–955 | ||
| 247 | GPT-4 | openai | Mar 2023 | $30 / $60 | 33.2% | — | — | ||
| 255 | GPT-4.1 nano | openai | Apr 2025 | $0.10 / $0.40 | 32.0% | — | #197–987 | ||
| 268 | GPT-4o mini | openai | Jul 2024 | $0.15 / $0.60 | 31.0% | — | #236–1023 |
Showing IFBench (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.