Model card
MiniMax-Text-01.
MiniMaxLarge language model1 current SOTA
Added from Papers with Code MMLU-Pro refresh on 2026-05-19.
§ 02 · Benchmarks
Every benchmark MiniMax-Text-01 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | DROP | Natural Language Processing · Question Answering | f1 | 87.8% | #1 | — | source ↗ |
| 02 | SimpleQA | Natural Language Processing · Question Answering | accuracy | 23.7% | #6 | — | source ↗ |
| 03 | MMLU | Reasoning · Commonsense Reasoning | accuracy | 88.5% | #23 | — | source ↗ |
| 04 | GSM8K | Reasoning · Mathematical Reasoning | accuracy | 94.8% | #26 | — | source ↗ |
| 05 | MATH | Reasoning · Mathematical Reasoning | accuracy | 77.4% | #28 | — | source ↗ |
| 06 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 75.7% | #49 | 2025-01-14 | source ↗ |
| 07 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 75.7% | #49 | — | source ↗ |
| 08 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 54.4% | #60 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where MiniMax-Text-01 actually performs.
§ 04 · Papers
1 paper with results for MiniMax-Text-01.
- 2025-01-14· 7 results
MiniMax-01: Scaling Foundation Models with Lightning Attention
§ 05 · Related models
Other MiniMax models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
7
results
paperswithcode
1
result
0 of 8 rows marked verified.