DeepSeek V3.2 vs Xiaomi MiMo-V2.5-Pro
DeepSeek V3.2 (2025) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from DeepSeek and Xiaomi. DeepSeek V3.2 ships a 160K-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, DeepSeek V3.2 costs $0.26/1M input tokens versus $1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek V3.2 is ~286% cheaper at $0.26/1M; pay for Xiaomi MiMo-V2.5-Pro only for coding workflow support.
Specs
| Released | 2025-01-01 | 2026-04-22 |
| Context window | 160K | 1M |
| Parameters | 671B | 1T |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek V3.2 | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Input price | $0.26/1M tokens | $1/1M tokens |
| Output price | $0.42/1M tokens | $3/1M tokens |
| Providers |
Capabilities
| DeepSeek V3.2 | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Xiaomi MiMo-V2.5-Pro, tool use: Xiaomi MiMo-V2.5-Pro, and code execution: DeepSeek V3.2. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek V3.2 lists $0.26/1M input and $0.42/1M output tokens, while Xiaomi MiMo-V2.5-Pro lists $1/1M input and $3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.2 lower by about $1.29 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose DeepSeek V3.2 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, DeepSeek V3.2 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while DeepSeek V3.2 supports 160K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3.2 or Xiaomi MiMo-V2.5-Pro?
DeepSeek V3.2 is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.26/1M input and $0.42/1M output tokens. Xiaomi MiMo-V2.5-Pro costs $1/1M input and $3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.2 or Xiaomi MiMo-V2.5-Pro open source?
DeepSeek V3.2 is listed under Open Source. Xiaomi MiMo-V2.5-Pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for function calling, DeepSeek V3.2 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, DeepSeek V3.2 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3.2 and Xiaomi MiMo-V2.5-Pro?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. Xiaomi MiMo-V2.5-Pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.