MiniMax Text 01
minimax/minimax-text-01Million-token open language model, lightning-attention architecture built for very long inputs.
Model overview
Context window
1M
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
Yes
self-hostable
Capabilities
4
of 11 tags
Description
MiniMax Text 01 is a language model from MiniMax. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. MiniMax’s stated focus is multimodal breadth: text, video, speech. Its mean it can also be self-hosted under its licence.
Capabilities
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
- Long context
- Built for inputs well beyond the mainstream window, whole repositories, archives or corpora.
- Open weights
- The parameters are published, so the model can be inspected, fine-tuned and self-hosted under its licence.
Strengths & weaknesses
Strengths
- 1M context at open-model prices
- Novel efficient attention
- Open weights
Weaknesses
- No JSON mode
- Quality dips at extreme context depths
Pricing
Free| Rate | Price | Unit |
|---|---|---|
| Input | $0.00 | per 1M tokens |
| Output | — not charged | — |
Free at the point of use; fair-use rate limits apply to the free tier. Illustrative placeholder pricing.
Context window
1Mtokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Not supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Supported |
| Open weights | Supported |
| Reasoning | Not supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
Whole-corpus analysis
1M context at open-model prices
Long transcript processing
Novel efficient attention
Context-heavy RAG
Open weights
Comparison
| Attribute | MiniMax Text 01 | Llama 4 Scout | Kimi K2 |
|---|---|---|---|
| Context window | 1M | 10M | 256K |
| Input price | $0.00 | $0.00 | $0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Supported | Supported | Supported |
| JSON mode | Not supported | Not supported | Supported |
| Vision input | Not supported | Not supported | Not supported |
| Open weights | Supported | Supported | Supported |
| Prompt caching | Not supported | Not supported | Supported |
Best value in each row is highlighted. Illustrative placeholder data.
Provider information
View MiniMax →MiniMax · 稀宇科技 · Shanghai, China · est. 2021
MiniMax builds across more modalities than almost any peer, million-token text models, the Hailuo video line, and production-grade speech synthesis. Its M-series brought efficient open reasoning to the mix, rounding out one of the most complete catalogues in the ecosystem.
Recent releases
Documentation
Frequently asked questions
Input is billed at $0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.