MiniMax has launched a newer model, MiniMax-M2.7, we suggest considering this model instead.
For more information, see Comparison of MiniMax-M2.7 to other models and API provider benchmarks for MiniMax-M2.7.
MiniMax-M2.5 Intelligence, Performance & Price Analysis
Model summary
IntelligenceUpdated
Speed
Price
Cache Price
Verbosity
MiniMax-M2.5 is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 205k tokens context window.
MiniMax-M2.5 scores 34 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 24).
Pricing for MiniMax-M2.5 is $0.30 per 1M input tokens (moderately priced, average: $0.40) and $1.20 per 1M output tokens (moderately priced, average: $1.23).
At 197 tokens per second, MiniMax-M2.5 is notably fast (64).
| 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 | 205k ~307 A4 pages of size 12 Arial font |
| Total parameters | 230B |
| Active parameters | 10B Number of parameters active per token during inference |
| License | MIT |
| 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
IntelligenceUpdated
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
Kubernetes incident root-cause analysis
Visual reasoning
Openness
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons
Intelligence vs. Cost per Intelligence Index Task
Token UseUpdated
Output Tokens per Intelligence Index Task
Price and CostUpdated
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
SpeedUpdated
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
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-M2.5
MiniMax-M2.5 was released on February 12, 2026.
MiniMax-M2.5 was created by MiniMax.
MiniMax-M2.5 scores 34 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 24).
MiniMax-M2.5 generates output at 197.1 tokens per second (based on MiniMax's API), which is well above average compared to other open weight models of similar size (median: 64.4 t/s).
MiniMax-M2.5 has a time to first token (TTFT) of 5.09s (based on MiniMax's API), which is at the higher end compared to other open weight models of similar size (median: 2.38s).
MiniMax-M2.5 costs $0.30 per 1M input tokens (very competitive, median: $0.53) and $1.20 per 1M output tokens (better than average, median: $1.80), based on MiniMax's API.
MiniMax-M2.5 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens (based on MiniMax's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.29 per 1M tokens. Pricing may vary by provider. Compare provider pricing
Yes, MiniMax-M2.5 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
MiniMax-M2.5 supports text input.
MiniMax-M2.5 supports text output.
No, MiniMax-M2.5 does not support image input. It can only process text.
No, MiniMax-M2.5 is not multimodal. It only supports text input.
MiniMax-M2.5 has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, MiniMax-M2.5 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiniMax-M2.5 has 230 billion parameters (10 billion active).
MiniMax-M2.5 is a Mixture of Experts (MoE) model with 230 billion total parameters, but only 10 billion active parameters are used during inference.
MiniMax-M2.5 is released under the MIT license. This license allows commercial use. View license
MiniMax-M2.5 achieves a score of 34 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
MiniMax-M2.5 is an open weights model that can be self-hosted. View providers
MiniMax-M2.5 is an open weights model that can be downloaded and self-hosted. Compare providers