MiMo-V2.5 vs MiniMax M1
Detailed technical comparison between MiMo-V2.5 (Xiaomi) and MiniMax M1 (MiniMax). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
MiMo-V2.5
1,050,000 tokensTie
Equal CapabilityTie
Equal SpeedMiMo-V2.5
$0.14 / MTokMiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
🏆 = Superior Spec| Specification | MiMo-V2.5 | MiniMax M1 |
|---|---|---|
| Provider | Xiaomi | MiniMax |
| Context Window | 1,050,000 tokens🏆 | 1,000,000 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | managed api |
| Production Stability | Beta Access (est.) | Beta Access (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-04-22 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
MiMo-V2.5
$0.14
MiniMax M1
$0.55
Output Price per Million Tokens
MiMo-V2.5
$0.28
MiniMax M1
$2.20
💡 Cost Ratio: MiMo-V2.5 is 3.9x cheaper per input token than MiniMax M1.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
MiMo-V2.5 Quirks & Gotchas
No developer gotchas reported.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
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