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
| Rate | Price | Unit |
|---|---|---|
| Input | — quoted on request | — |
| Output | — quoted on request | — |
This model is not provisioned yet; the rate is quoted on request.
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
Long transcript processing
Context-heavy RAG
Comparison
Compare against anything →| Attribute | MiniMax Text 01 | Llama 4 Scout | Kimi K2 |
|---|---|---|---|
| Context window | 1M | 10M | 256K |
| Input price | R0.00 | R0.00 | R0.00 |
| 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. Blank cells are facts the supplier does not publish, not zeroes.
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 R0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.
Yes. MiniMax Text 01's parameters are published, so it can be downloaded, inspected, fine-tuned and self-hosted under its licence. Self-hosting trades per-token pricing for infrastructure you run.
Prompt and response share one window: MiniMax Text 01 accepts up to 1M tokens in total, so a long input leaves less room for the answer. The median across language models is 256K. It carries the long-context tag, meaning it is built for inputs well beyond the mainstream window.
Llama 4 Scout is the closest neighbour in the catalogue, with 10M of context at R0.00 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.