LLM Reference

Qwen2-72B vs Xiaomi MiMo-V2.5-TTS-Series

Qwen2-72B (2024) and Xiaomi MiMo-V2.5-TTS-Series (2026) are compact production models from Alibaba and Xiaomi. Qwen2-72B ships a 128k-token context window, while Xiaomi MiMo-V2.5-TTS-Series ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Xiaomi MiMo-V2.5-TTS-Series is safer overall; choose Qwen2-72B when provider fit matters.

Decision scorecard

Local evidence first
SignalQwen2-72BXiaomi MiMo-V2.5-TTS-Series
Best forprovider-routed productionmultimodal apps
Decision fitCoding, RAG, and Long contextVision
Context window128k
Cheapest output$0.65/1M tokens-
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Qwen2-72B when...
  • Qwen2-72B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Qwen2-72B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen2-72B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Qwen2-72B for Coding, RAG, and Long context.
Choose Xiaomi MiMo-V2.5-TTS-Series when...
  • Xiaomi MiMo-V2.5-TTS-Series uniquely exposes Multimodal in local model data.
  • Local decision data tags Xiaomi MiMo-V2.5-TTS-Series for Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Qwen2-72B

$523

Cheapest tracked route/tier: DeepInfra

Xiaomi MiMo-V2.5-TTS-Series

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Qwen2-72B -> Xiaomi MiMo-V2.5-TTS-Series
  • No overlapping tracked provider route is sourced for Qwen2-72B and Xiaomi MiMo-V2.5-TTS-Series; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Xiaomi MiMo-V2.5-TTS-Series adds Multimodal in local capability data.
Xiaomi MiMo-V2.5-TTS-Series -> Qwen2-72B
  • No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-TTS-Series and Qwen2-72B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal before moving production traffic.
  • Qwen2-72B adds Structured outputs in local capability data.

Specs

Specification
Released2024-06-052026-04-23
Context window128k
Parameters72.71B
Architecturedecoder only-
LicenseApache 2.0(OSI)Proprietary
OpennessOpen sourceProprietary
Commercial useCommercial use allowedCommercial use with conditions
Knowledge cutoff--

Pricing and availability

Pricing attributeQwen2-72BXiaomi MiMo-V2.5-TTS-Series
Input price$0.45/1M tokens-
Output price$0.65/1M tokens-
Providers

Capabilities

CapabilityQwen2-72BXiaomi MiMo-V2.5-TTS-Series
VisionNoNo
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Xiaomi MiMo-V2.5-TTS-Series 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-V2.5-TTS-Series has no token price sourced yet. Provider availability is 4 tracked routes versus 1. 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-V2.5-TTS-Series when provider fit 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

Is Qwen2-72B or Xiaomi MiMo-V2.5-TTS-Series open source?

Qwen2-72B is listed under Apache 2.0. Xiaomi MiMo-V2.5-TTS-Series 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 multimodal input, Qwen2-72B or Xiaomi MiMo-V2.5-TTS-Series?

Xiaomi MiMo-V2.5-TTS-Series 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.

Which is better for structured outputs, Qwen2-72B or Xiaomi MiMo-V2.5-TTS-Series?

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-V2.5-TTS-Series?

Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. Xiaomi MiMo-V2.5-TTS-Series is available on Xiaomi. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Qwen2-72B over Xiaomi MiMo-V2.5-TTS-Series?

Xiaomi MiMo-V2.5-TTS-Series is safer overall; choose Qwen2-72B when provider fit matters. If your workload also depends on provider fit, start with Qwen2-72B; if it depends on provider fit, run the same evaluation with Xiaomi MiMo-V2.5-TTS-Series.

Continue comparing

Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.