MiMo-V2.5-Pro
AI model by Xiaomi. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. MiMo-V2.5-Pro is a budget-tier option from Xiaomi at $0.87/M output tokens. Despite the low price, it scores competitively on Coding Index (60.2) and Intelligence Index (42.9) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, MiMo-V2.5-Pro reports 35 tok/s output speed and 4070ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, MiMo-V2.5-Pro costs $0.52 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-09-06.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
MiMo-V2.5-ProCurrent | $0.43 | $0.87 | 35 tok/s |
| DeepSeek V4 Pro (Reasoning, High Effort) | $0.43 | $0.87 | 63 tok/s |
| DeepSeek V4 Pro (Non-reasoning) | $0.43 | $0.87 | 60 tok/s |
| DeepSeek V4 Pro (Reasoning, Max Effort) | $0.43 | $0.87 | 62 tok/s |
| DeepSeek V3 (Dec '24) | $0.36 | $0.89 | — |
| GLM-4.6V (Non-reasoning) | $0.30 | $0.90 | 72 tok/s |