Xiaomi MiMo-V2.6 Pro vs Perplexity Decider v1.2
A direct, empirical evaluation of Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)) against Perplexity Decider v1.2 (Perplexity AI).
Xiaomi MiMo-V2.6 Pro
Developed by Xiaomi AI Lab (Fuli Luo) · 1.02 Trillion (Sparse MoE) parameters
High-accuracy autonomous coding (71.9% DeepSWE), cybersecurity defense (94.0% CyberGym), multimodal document reasoning, and cost-effective agentic workflows.
Perplexity Decider v1.2
Developed by Perplexity AI · 27 Billion Parameters parameters
Sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated API dispatcher pipelines.
| Metric | Xiaomi MiMo-V2.6 Pro | Perplexity Decider v1.2 |
|---|---|---|
| SWE-bench Verified | 71.9% | 64.2% |
| MMLU-Pro | 89.2% | 88.4% |
| MATH-500 | 93.8% | 89.1% |
| Context Window | 128,000 tokens | 64,000 tokens |
| Input Pricing (per 1M) | $0.10 | $0.20 |
| Output Pricing (per 1M) | $0.20 | $0.60 |
Architectural & Practical Deployment Analysis
Evaluating Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)) alongside Perplexity Decider v1.2 (Perplexity AI) highlights key technical trade-offs across neural parameter scale and compute efficiency. Xiaomi MiMo-V2.6 Pro executes across 1.02 Trillion (Sparse MoE) total parameters with 32 Billion active tokens active per token, whereas Perplexity Decider v1.2 operates on 27 Billion Parameters parameters with 27.2B Dedicated Multimodal Decision Engine active per token.
On SWE-bench Verified software engineering tasks, Xiaomi MiMo-V2.6 Pro achieves 71.9% autonomous resolution rate, compared to 64.2% for Perplexity Decider v1.2. On complex reasoning benchmarks, Xiaomi MiMo-V2.6 Pro posts 89.2% on MMLU-Pro and 93.8% on MATH-500, against 88.4% and 89.1% respectively for Perplexity Decider v1.2.
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $1.30 on Xiaomi MiMo-V2.6 Pro versus $3.20 on Perplexity Decider v1.2.
Recommendation: Deploy Xiaomi MiMo-V2.6 Pro when your infrastructure prioritizes high-accuracy autonomous coding (71.9% deepswe), cybersecurity defense (94.0% cybergym), multimodal document reasoning, and cost-effective agentic workflows.. Deploy Perplexity Decider v1.2 when workload requirements favor sub-50ms intent classification, multimodal screenshot routing, calibrated confidence bounds, and automated api dispatcher pipelines..