MiMo-V2.5 vs DeepSeek V3.1
Detailed technical comparison between MiMo-V2.5 (Xiaomi) and DeepSeek V3.1 (DeepSeek). 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...
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Technical Specifications
🏆 = Superior Spec| Specification | MiMo-V2.5 | DeepSeek V3.1 |
|---|---|---|
| Provider | Xiaomi | DeepSeek |
| Context Window | 1,050,000 tokens🏆 | 163,840 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 | self hostable |
| Production Stability | Beta Access (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-04-22 | 2025-08-21 |
API Pricing Comparison
Input Price per Million Tokens
MiMo-V2.5
$0.14
DeepSeek V3.1
$0.25
Output Price per Million Tokens
MiMo-V2.5
$0.28
DeepSeek V3.1
$0.95
💡 Cost Ratio: MiMo-V2.5 is 1.8x cheaper per input token than DeepSeek V3.1.
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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.
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
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