Xiaomi MiMo-V2.5-Pro vs Qwen2-72B
Xiaomi MiMo-V2.5-Pro (2026) and Qwen2-72B (2024) compare a coding-specialized model against a standalone API model. Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window, while Qwen2-72B ships a 128k-token context window. On MMLU PRO, Xiaomi MiMo-V2.5-Pro leads by 4.1 pts. On pricing, Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens versus $0.45/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Xiaomi MiMo-V2.5-Pro is coding-specialized model, while Qwen2-72B is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Xiaomi MiMo-V2.5-Pro | Qwen2-72B |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents, code generation, and tool loops | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 1.05m | 128k |
| Cheapest output | $0.87/1M tokens | $0.65/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | MMLU PRO leader | 2 rows |
Decision tradeoffs
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on MMLU PRO, ahead by 4.1 points.
- Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5-Pro uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.
- Qwen2-72B has the lower cheapest tracked output price at $0.65/1M tokens.
- Qwen2-72B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen2-72B for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Qwen2-72B
$523
Cheapest tracked route/tier: DeepInfra
Estimated monthly gap: $43.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and Qwen2-72B; plan for SDK, billing, or endpoint changes.
- Qwen2-72B is $0.22/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen2-72B and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
- Xiaomi MiMo-V2.5-Pro is $0.22/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Xiaomi MiMo-V2.5-Pro adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2024-06-05 |
| Context window | 1.05m | 128k |
| Parameters | 1T | 72.71B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Xiaomi MiMo-V2.5-Pro | Qwen2-72B |
|---|---|---|
| Input price | $0.43/1M tokens | $0.45/1M tokens |
| Output price | $0.87/1M tokens | $0.65/1M tokens |
| Providers |
Capabilities
| Capability | Xiaomi MiMo-V2.5-Pro | Qwen2-72B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Xiaomi MiMo-V2.5-Pro | Qwen2-72B |
|---|---|---|
| MMLU PRO | 68.5 | 64.4 |
| Massive Multitask Language Understanding | 89.4 | 84.2 |
Deep dive
On shared benchmark coverage, MMLU PRO has Xiaomi MiMo-V2.5-Pro at 68.5 and Qwen2-72B at 64.4, with Xiaomi MiMo-V2.5-Pro ahead by 4.1 points; Massive Multitask Language Understanding has Xiaomi MiMo-V2.5-Pro at 89.4 and Qwen2-72B at 84.2, with Xiaomi MiMo-V2.5-Pro ahead by 5.2 points. The largest visible gap is 5.2 points on Massive Multitask Language Understanding, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
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 $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider, 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 $0.06 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Xiaomi MiMo-V2.5-Pro when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Qwen2-72B when provider fit 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.
FAQ
Which has a larger context window, Xiaomi MiMo-V2.5-Pro or Qwen2-72B?
Xiaomi MiMo-V2.5-Pro supports 1.05m 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 $0.43/1M input and $0.87/1M 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, Xiaomi, and Novita AI. 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: 2026-05-26. Data sourced from public model cards and provider documentation.