MiniMax-01
MiniMax · released Jan 12, 2025 · MiniMaxAI/MiniMax-Text-01
- Type
- Open weights
- Params
- 456B
- Context
- 1M
active per word not recorded by us · about 750K words of context
Our take
Written Sep 7, 2026MiniMax-01 is a 456.1-billion-parameter downloadable model that accepts text and images with a one-million-token request limit. It is positioned for long-document work, though no quality scores are available to verify its performance.
Pick this when you need open weights and an extremely long request limit for budget-conscious document work. It is one of the longest-context downloadable models we list. Skip it if you need verified quality data, fast throughput, or clear licence terms for commercial use.
The case for it
- One-million-token request limit exceeds the 128K–256K range common to most open models we list.
- Identical per-token pricing across both tracked providers.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal performance all unverified.
- Extremely low reported throughput on direct hosting, at one token per second.
- Licence terms undisclosed: commercial use, redistribution and modification rights are unverified.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Can you run it yourself?
GeForce RTX 4090 · 24 GB
Too large for this card. The weights do not fit even with part of them offloaded to system memory.
Apple M1 Pro (16-core GPU) · 32 GB
Too large for this card. The weights do not fit even with part of them offloaded to system memory.
Comfortable fit
Apple M3 Ultra (80-core GPU) · 512 GB
Room to spare. 85.9 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
What is quantisation? →This model on every device we track71 devicesThe Q4 build most people download, on each device: what the weights come to, how much context the memory leaves, and whether it runs. Smallest device that runs it first.
Check against your own machine → · Where to rent it hosted →
Or rent it from someone else
Prices checked 2 hours ago — each listing carries its own date.
- per 1M tokens
- $0.20 in / $1.10 out
- Context served
- 1M
- Throughput
- ~26 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.20 / $1.10checked 2 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| MinimaxThrough OpenRouter | $0.20 / $1.10checked 2 hours ago | 1M900K max reply | 26 tok/s | No | Yesunknown period | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✗ | ✗ | ✗ |
| MinimaxThrough OpenRouter | ✗ | ✗ | ✗ |
Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 0 of 2 listings say yes, 2 say no.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- No independent board has scored it, so we hold no quality figures at all.
- We do not hold the active parameter count for it, so how much of it runs on any one token is unknown to us.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
- We hold a decode speed for it, but no prompt-processing (prefill) figure, so how long the input side of a job takes is unknown to us.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model yet.
Identifiers
- Hugging Face
- MiniMaxAI/MiniMax-Text-01
- Architecture
- Mixture of experts
- Takes in, gives back
- Text and images in, text out
- Catalogue slug
- minimax-minimax-01