DeepSeek V3.1 (Reasoning)
85.1%
no interval published
aiqbench · LLM benchmarks
85.1%
no interval published
85.1%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 22 | DeepSeek V3.1 (Reasoning) | deepseek | Aug 2025 | — | 85.1% | — | #101–158 | ||
| 23 | DeepSeek V3.1 Terminus (Reasoning) | deepseek | Sep 2025 | $0.27 / $1 | 85.1% | — | #54–168 |
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.