Xiaomi MiMo-V2.5-Pro vs Qwen2-72B
Xiaomi MiMo-V2.5-Pro (2026) and Qwen2-72B (2024) are agentic coding models from Xiaomi and Alibaba. Xiaomi MiMo-V2.5-Pro ships a 1M-token context window, while Qwen2-72B ships a 128K-token context window. On pricing, Qwen2-72B costs $0.45/1M 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.
Qwen2-72B is ~122% cheaper at $0.45/1M; pay for Xiaomi MiMo-V2.5-Pro only for coding workflow support.
Specs
| Released | 2026-04-22 | 2024-06-05 |
| Context window | 1M | 128K |
| Parameters | 1T | 72.71B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Xiaomi MiMo-V2.5-Pro | Qwen2-72B | |
|---|---|---|
| Input price | $1/1M tokens | $0.45/1M tokens |
| Output price | $3/1M tokens | $0.65/1M tokens |
| Providers |
Capabilities
| Xiaomi MiMo-V2.5-Pro | Qwen2-72B | |
|---|---|---|
| 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 and tool use: Xiaomi MiMo-V2.5-Pro. 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, Xiaomi MiMo-V2.5-Pro lists $1/1M input and $3/1M output tokens, while Qwen2-72B lists $0.45/1M input and $0.65/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen2-72B lower by about $1.09 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Xiaomi MiMo-V2.5-Pro when coding workflow support and larger context windows are central to the workload. Choose Qwen2-72B when provider fit, lower input-token cost, and broader provider choice 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Xiaomi MiMo-V2.5-Pro or Qwen2-72B?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while Qwen2-72B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Xiaomi MiMo-V2.5-Pro or Qwen2-72B?
Qwen2-72B is cheaper on tracked token pricing. Xiaomi MiMo-V2.5-Pro costs $1/1M input and $3/1M output tokens. Qwen2-72B costs $0.45/1M input and $0.65/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Xiaomi MiMo-V2.5-Pro or Qwen2-72B open source?
Xiaomi MiMo-V2.5-Pro is listed under Proprietary. Qwen2-72B is listed under Apache 2.0. 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, Xiaomi MiMo-V2.5-Pro or Qwen2-72B?
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, Xiaomi MiMo-V2.5-Pro or Qwen2-72B?
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 Xiaomi MiMo-V2.5-Pro and Qwen2-72B?
Xiaomi MiMo-V2.5-Pro is available on OpenRouter. Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. 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.