DeepSeek R1 vs Xiaomi MiMo-V2.5
DeepSeek R1 (2025) and Xiaomi MiMo-V2.5 (2026) are frontier-tier reasoning models from DeepSeek and Xiaomi. DeepSeek R1 ships a 128K-token context window, while Xiaomi MiMo-V2.5 ships a 1M-token context window. On pricing, DeepSeek R1 costs $0.1/1M input tokens versus $0.4/1M 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 R1 is ~300% cheaper at $0.1/1M; pay for Xiaomi MiMo-V2.5 only for long-context analysis.
Specs
| Released | 2025-01-20 | 2026-04-22 |
| Context window | 128K | 1M |
| Parameters | 671B, 37B Active | — |
| Architecture | decoder only | - |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek R1 | Xiaomi MiMo-V2.5 | |
|---|---|---|
| Input price | $0.1/1M tokens | $0.4/1M tokens |
| Output price | $0.3/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 | Xiaomi MiMo-V2.5 | |
|---|---|---|
| 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 vision: Xiaomi MiMo-V2.5, multimodal input: Xiaomi MiMo-V2.5, function calling: Xiaomi MiMo-V2.5, tool use: Xiaomi MiMo-V2.5, and code execution: DeepSeek R1. Both models share reasoning mode and 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 R1 lists $0.1/1M input and $0.3/1M output tokens, while Xiaomi MiMo-V2.5 lists $0.4/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 lower by about $0.72 per million blended tokens. Availability is 13 providers versus 1, so concentration risk also matters.
Choose DeepSeek R1 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5 when long-context analysis 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.
FAQ
Which has a larger context window, DeepSeek R1 or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 supports 1M tokens, while DeepSeek R1 supports 128K 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 R1 or Xiaomi MiMo-V2.5?
DeepSeek R1 is cheaper on tracked token pricing. DeepSeek R1 costs $0.1/1M input and $0.3/1M output tokens. Xiaomi MiMo-V2.5 costs $0.4/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 or Xiaomi MiMo-V2.5 open source?
DeepSeek R1 is listed under Open Source. Xiaomi MiMo-V2.5 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 vision, DeepSeek R1 or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek R1 or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 and Xiaomi MiMo-V2.5?
DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. Xiaomi MiMo-V2.5 is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.