Model comparison
MiniMax-Text-01 vs Llama 3.1
- Input
- $0.20 / 1M tokens
- Output
- $1.10 / 1M tokens
- Context
- 4M
- Released
- 2025-01-15
- Input
- $2.75 / 1M tokens
- Output
- $6.50 / 1M tokens
- Context
- 128K
- Released
- 2024-07-23
MiniMax-Text-01 scores higher on 4 of the 4 benchmarks both models report; MiniMax-Text-01 is cheaper on input tokens ($0.2 vs $2.8 per 1M, 13.8×); MiniMax-Text-01 has the larger context window (4M vs 128K).
Specs and pricing side by side
| Spec | MiniMax-Text-01 | Llama 3.1 |
|---|---|---|
| Maker | MiniMax | Meta |
| Released | 2025-01-15 | 2024-07-23 |
| Context window | 4M | 128K |
| Max output | Not separately published | Provider-dependent (e.g. ~4K on some hosted… |
| Input price | $0.20 / 1M tokens | $2.75 / 1M tokens |
| Output price | $1.10 / 1M tokens | $6.50 / 1M tokens |
| Parameters | 456B total / 45.9B active (MoE, 32 experts, Top-2 routing, 80 layers) | 8B, 70B, and 405B (dense) |
| License | MiniMax Model License Agreement (open weights, custom) | Llama 3.1 Community License (custom commercial) |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
| Knowledge cutoff | Not officially stated | December 2023 |
Benchmarks both models report
| Benchmark | MiniMax-Text-01 | Llama 3.1 |
|---|---|---|
| MMLU | 88.5% | 87.3% |
| MMLU-Pro | 75.7% | 73.3% |
| MATH | 77.4% | 73.8% |
| IFEval | 89.1% | 88.6% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick MiniMax-Text-01 if…
- You care about MMLU, MMLU-Pro, MATH (it scores higher on 4 shared benchmarks).
- Cost matters: input tokens cost 13.8× less ($0.2 vs $2.8 per 1M).
- You need the longer context (4M vs 128K).
- Your use case is: long-document and whole-codebase analysis that needs hundreds of thousands to millions of tokens of context.
Pick Llama 3.1 if…
- Your use case is: self-hosted and on-prem deployments where data cannot leave the org's infrastructure.
FAQ
Which is better, MiniMax-Text-01 or Llama 3.1?
MiniMax-Text-01 scores higher on 4 of the 4 benchmarks both models report; MiniMax-Text-01 is cheaper on input tokens ($0.2 vs $2.8 per 1M, 13.8×); MiniMax-Text-01 has the larger context window (4M vs 128K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is MiniMax-Text-01?
MiniMax-Text-01: $0.20 / 1M tokens input, $1.10 / 1M tokens output. Llama 3.1: $2.75 / 1M tokens input, $6.50 / 1M tokens output (list API prices as published by each maker).
What are the context windows of MiniMax-Text-01 and Llama 3.1?
MiniMax-Text-01 offers 4M with up to Not separately published output; Llama 3.1 offers 128K with up to Provider-dependent (e.g. ~4K on some hosted endpoints); the 128K window is shared between input and output output.
Is MiniMax-Text-01 newer than Llama 3.1?
MiniMax-Text-01 was released 2025-01-15; Llama 3.1 was released 2024-07-23.