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 80k Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Output Price
Verbosity
MiniMax M1 80k is below average in intelligence and somewhat expensive 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 80k scores 24 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 30). When evaluating the Intelligence Index, it generated 24M tokens, which is fairly concise in comparison to the average of 40M.
Pricing for MiniMax M1 80k is $0.55 per 1M input tokens (somewhat expensive, average: $0.45) and $2.20 per 1M output tokens (somewhat expensive, average: $1.69). In total, it cost $114.97 to evaluate MiniMax M1 80k on the Intelligence Index.
| 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 |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
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 now includes a “Cache Hit Price” alongside Input and Output pricing, with new blend ratios.
Pricing: Cache Hit, Input, and Output
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 80k
MiniMax M1 80k was released on June 17, 2025.
MiniMax M1 80k was created by MiniMax.
MiniMax M1 80k scores 24 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 30).
MiniMax M1 80k costs $0.55 per 1M input tokens (better than average, median: $0.59) and $2.20 per 1M output tokens (better than average, median: $2.20), based on the median across providers serving the model.
MiniMax M1 80k costs $0.55 per 1M input tokens and $2.20 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.96 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, MiniMax M1 80k generated 24M output tokens, which is better than average compared to other open weight models of similar size (median: 40M).
Yes, MiniMax M1 80k is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
MiniMax M1 80k supports text input.
MiniMax M1 80k supports text output.
No, MiniMax M1 80k does not support image input. It can only process text.
No, MiniMax M1 80k is not multimodal. It only supports text input.
MiniMax M1 80k 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 80k is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiniMax M1 80k has 456 billion parameters (45.9 billion active).
MiniMax M1 80k 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 80k is released under the Apache 2.0 license. This license allows commercial use. View license
MiniMax M1 80k achieves a score of 24 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
MiniMax M1 80k is an open weights model that can be self-hosted. View providers
MiniMax M1 80k is an open weights model that can be downloaded and self-hosted. Compare providers