Model Library
XiaomiReleased April 22, 2026MiMo-V2.5-Pro
Xiaomi · Released April 22, 2026
Intelligence score
42
At a glance
- Intelligence
- 42
- Speed
- 52.5tokens/sec
- Latency
- 2.77stime to first token
- Input price
- $0.43per 1M tokens
- Output price
- $0.87per 1M tokens
- Context window
- 3tokens
- Parameters
- 42billions
Summary
Comparison summary
MiMo-V2.5-Pro scores 42 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25). MiMo-V2.5-Pro generates output at 52.5 tokens per second (based on Xiaomi's API), which is below average compared to other open weight models of similar size (median: 61.7 t/s). MiMo-V2.5-Pro costs $0.43 per 1M input tokens (better than average, median: $0.59) and $0.87 per 1M output tokens (very competitive, median: $2.20), based on Xiaomi's API.
Specifications
Technical specifications
| Model name | MiMo-V2.5-Pro |
|---|---|
| Provider | Xiaomi |
| Release date | April 22, 2026 |
| Intelligence score | 42 |
| Speed | 52.5 tokens/sec |
| Latency (TTFT) | 2.77s |
| Input price | $0.43 / 1M tokens |
| Output price | $0.87 / 1M tokens |
| Context window | 3 tokens |
| Parameters | 42B |
| Reasoning | Yes |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | Mit |
| API availability | — |
| Source | Model Intelligence legacy profile: mimo-v2-5-pro |
Pricing
Token prices
Price per 1M tokens
MiMo-V2.5-Pro, as listed in the catalog record
- Input$0.43
- Output$0.87
| Token type | Price per 1M |
|---|---|
| Input | $0.43 |
| Output | $0.87 |
Model Intelligence legacy profile: mimo-v2-5-pro
FAQ · 21
Frequently asked questions
MiMo-V2.5-Pro was released on April 22, 2026.
MiMo-V2.5-Pro was created by Xiaomi.
MiMo-V2.5-Pro scores 42 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25).
MiMo-V2.5-Pro generates output at 52.5 tokens per second (based on Xiaomi's API), which is below average compared to other open weight models of similar size (median: 61.7 t/s).
MiMo-V2.5-Pro has a time to first token (TTFT) of 2.77s (based on Xiaomi's API), which is somewhat higher than average compared to other open weight models of similar size (median: 2.01s).
MiMo-V2.5-Pro costs $0.43 per 1M input tokens (better than average, median: $0.59) and $0.87 per 1M output tokens (very competitive, median: $2.20), based on Xiaomi's API.
MiMo-V2.5-Pro costs $0.43 per 1M input tokens and $0.87 per 1M output tokens (based on Xiaomi's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.18 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, MiMo-V2.5-Pro generated 96M output tokens, which is better than average compared to other open weight models of similar size (median: 92M).
Yes, MiMo-V2.5-Pro is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
MiMo-V2.5-Pro supports text input.
MiMo-V2.5-Pro supports text output.
No, MiMo-V2.5-Pro does not support image input. It can only process text.
No, MiMo-V2.5-Pro is not multimodal. It only supports text input.
MiMo-V2.5-Pro 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, MiMo-V2.5-Pro is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiMo-V2.5-Pro has 1.0 trillion parameters (42 billion active).
MiMo-V2.5-Pro is a Mixture of Experts (MoE) model with 1.0 trillion total parameters, but only 42 billion active parameters are used during inference.
MiMo-V2.5-Pro is released under the Mit license. This license allows commercial use.
MiMo-V2.5-Pro achieves a score of 42 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, MiMo-V2.5-Pro is available via API through 4 providers.
MiMo-V2.5-Pro is available through 4 API providers.