Deepinfra
99.90%Context1M
Max output1M
p50 latency613 ms
Throughput40.0 t/s
Input price$1
Output price$3
Zero retentionNo trainingCaching
Model directory
Baseer model profileLanguage model
xiaomi/mimo-v2.5-pro
MiMo V2.5 Pro
MiMo V2.5 Pro delivers significant improvements over its predecessor, MiMo-V2-Pro, in general agentic capabilities, complex software engineering, and long-horizon tasks. MiMo-V2.5-Pro is a 1.02T-parameter Mixture-of-Experts model with 42B active parameters, built on a hybrid-attention architecture with a 1M-token context window.
Input / 1M tokens$0.305
Output / 1M tokens$0.609
Maximum context1.1M
Inference providers3
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
Gmicloud
98.47%Context1.1M
Max output131K
p50 latency3,690 ms
Throughput27.0 t/s
Input price$0.305
Output price$0.609
Caching
Xiaomi
99.90%Context1.1M
Max output131K
p50 latency4,355 ms
Throughput44.0 t/s
Input price$0.435
Output price$0.87
Caching
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Deepinfra | 1M | 1M | 613 ms | 40.0 t/s | 99.902% | $1 | $3 | |
Gmicloud | 1.1M | 131K | 3,690 ms | 27.0 t/s | 98.468% | $0.305 | $0.609 | |
Xiaomi | 1.1M | 131K | 4,355 ms | 44.0 t/s | 99.903% | $0.435 | $0.87 |
What can this model do?
Available modalities and capabilities across inference providers.
TextAdvanced reasoningTool useAutomatic cachingTools
Technical profile
- Model type
- Language model
- Release date
- Apr 22, 2026
- Knowledge cutoff
- 2024-12
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
xiaomi/mimo-v2.5-proModel profile updated: Sep 12, 2026, 1:46 PM
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