Qwen2-72B vs Xiaomi MiMo-V2-Pro
Qwen2-72B (2024) and Xiaomi MiMo-V2-Pro (2026) are compact production models from Alibaba and Xiaomi. Qwen2-72B ships a 128K-token context window, while Xiaomi MiMo-V2-Pro ships a 1M-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Xiaomi MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Qwen2-72B for tighter calls.
Specs
| Released | 2024-06-05 | 2026-03-19 |
| Context window | 128K | 1M |
| Parameters | 72.71B | 1T |
| Architecture | decoder only | - |
| License | Apache 2.0 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Qwen2-72B | Xiaomi MiMo-V2-Pro | |
|---|---|---|
| Input price | $0.45/1M tokens | - |
| Output price | $0.65/1M tokens | - |
| Providers | - |
Capabilities
| Qwen2-72B | Xiaomi MiMo-V2-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-Pro and structured outputs: Qwen2-72B. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Qwen2-72B has $0.45/1M input tokens and Xiaomi MiMo-V2-Pro has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Qwen2-72B when provider fit and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2-Pro 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. 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, Qwen2-72B or Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-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.
Is Qwen2-72B or Xiaomi MiMo-V2-Pro open source?
Qwen2-72B is listed under Apache 2.0. Xiaomi MiMo-V2-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, Qwen2-72B or Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-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 structured outputs, Qwen2-72B or Xiaomi MiMo-V2-Pro?
Qwen2-72B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Qwen2-72B and Xiaomi MiMo-V2-Pro?
Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. Xiaomi MiMo-V2-Pro is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Qwen2-72B over Xiaomi MiMo-V2-Pro?
Xiaomi MiMo-V2-Pro fits 8x more tokens; pick it for long-context work and Qwen2-72B for tighter calls. If your workload also depends on provider fit, start with Qwen2-72B; if it depends on long-context analysis, run the same evaluation with Xiaomi MiMo-V2-Pro.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.