MiniMax has launched a newer model, MiniMax-M2, we suggest considering this model instead.
For more information, see Comparison of MiniMax-M2 to other models and API provider benchmarks for MiniMax-M2.
MiniMax M1 40k Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 1m ~1500 A4 pages of size 12 Arial font |
| Total parameters | 456B |
| Active parameters | 45.9B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
MiniMax M1 40k is below average in intelligence, but well priced when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 1m tokens context window.
MiniMax M1 40k scores 21 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 27). When evaluating the Intelligence Index, it generated 42M tokens, which is somewhat verbose in comparison to the average of 17M.
Pricing for MiniMax M1 40k is $0.00 per 1M input tokens (competitively priced, average: $0.55) and $0.00 per 1M output tokens (competitively priced, average: $1.70). In total, it cost $0.00 to evaluate MiniMax M1 40k on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of MiniMax M1 40k API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about MiniMax M1 40k
MiniMax M1 40k was released on June 17, 2025.
MiniMax M1 40k was created by MiniMax.
MiniMax M1 40k scores 21 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 27).
When evaluated on the Intelligence Index, MiniMax M1 40k generated 42M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 17M).
Yes, MiniMax M1 40k is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
MiniMax M1 40k supports text input.
MiniMax M1 40k supports text output.
No, MiniMax M1 40k does not support image input. It can only process text.
No, MiniMax M1 40k is not multimodal. It only supports text input.
MiniMax M1 40k has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, MiniMax M1 40k is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiniMax M1 40k has 456 billion parameters (45.9 billion active).
MiniMax M1 40k is a Mixture of Experts (MoE) model with 456 billion total parameters, but only 45.9 billion active parameters are used during inference.
MiniMax M1 40k is released under the Apache 2.0 license. This license allows commercial use. View license
MiniMax M1 40k achieves a score of 21 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
MiniMax M1 40k is an open weights model that can be self-hosted. View providers
MiniMax M1 40k is an open weights model that can be downloaded and self-hosted. Compare providers