MiniMax Text 01
MiniMaxAI · released 2025-01-15 · MiniMax Model License license
MiniMax-Text-01 is MiniMax's Jan 2025 456B-total/45.9B-active hybrid-attention MoE built for very long context (up to 4M tokens), with strong long-context retrieval and competitive general benchmarks (MMLU-Pro 75.7, IFEval 89.1).
Key specs
| Type | Local open-weight |
|---|---|
| Parameters | 456.09B total · MoE, — active |
| Architecture | minimax_text_01 |
| Context window | 10240K tokens |
| Knowledge cutoff | 2024-03-31 |
| Modalities | text, vision |
| Recommended backends | — |
| Minimum viable rig | — |
Benchmark scores
| GPQA Diamond | 54.4% |
|---|---|
| SWE-bench Verified | — |
| AIME | — |
| MMLU-Pro | 75.7% |
| BFCL v3 (tool use) | — |
| Composite score | 6.86 |
| Community rating | No reviews yet |
VRAM & disk per quantization
| Quant | VRAM | Disk | RAM | Context |
|---|---|---|---|---|
| Q4_K_M | 266 GB | 264.5 GB | — | 10240K |
Strengths & weaknesses
Strengths: Exceptional long context (RULER held to 1M, 4M-token inference); Strong general knowledge and instruction following (IFEval 89.1); Novel hybrid Lightning + Softmax attention MoE
Weaknesses: Non-reasoning; weaker GPQA (54.4) and competition math; Released Jan 2025, behind current models