MiniMax-Text-01: benchmark scores, price and ranking

MiniMax-Text-01 from MiniMaxAI ranks #177 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.6), based on 1 benchmark results captured up to 2026-10-13.

Organisation
MiniMaxAI
Type
Open-weight / local model
Open weights
Yes
Aggregate rank
#177 of 743 (score 50.6)

Across the 1 benchmark where at least ten models are scored, MiniMax-Text-01 is in the top 10% on 0 and in the top half on 1.

MiniMax-Text-01 benchmark results

MiniMax-Text-01 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
MMLU-Pro75.7%#38 of 136HuggingFace MMLU-Pro leaderboard2026-10-13

About MiniMax-Text-01

MiniMax-Text-01 is an open-weight model that can run on your own hardware from MiniMaxAI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where MiniMax-Text-01 stands

On our aggregate score, MiniMax-Text-01 is #177 of 743 ranked models, in the top quarter. Its score is 50.6; the scale is centred on 50, so it sits 0.6 points above the typical model. That beats 76% of the ranked field. Among the 2 ranked MiniMaxAI models it is #2. The next one up is MiniMax-M1-40k at 51.4.

MiniMax-Text-01, benchmark by benchmark

MMLU-Pro puts MiniMax-Text-01 at 75.7%, #38 of 136. That beats 72% of the models tested, but 12.4 points short of Darwin-180B-RSI (88.1%). The results either side are LongCat-Flash-Lite (78.3%) and Qwen2.5-72B (71.6%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so MiniMax-Text-01 is 20.4 points above it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works