Qwen2-72B vs Xiaomi MiMo-V2-Flash
Qwen2-72B (2024) and Xiaomi MiMo-V2-Flash (2025) are frontier reasoning models from Alibaba and Xiaomi. Qwen2-72B ships a 128k-token context window, while Xiaomi MiMo-V2-Flash ships a 262k-token context window. On pricing, Xiaomi MiMo-V2-Flash costs $0.10/1M input tokens versus $0.45/1M 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.
Xiaomi MiMo-V2-Flash is ~350% cheaper at $0.10/1M; pay for Qwen2-72B only for provider fit.
Decision scorecard
Local evidence first| Signal | Qwen2-72B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Long context | RAG, Agents, and Long context |
| Context window | 128k | 262k |
| Cheapest output | $0.65/1M tokens | $0.30/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- Xiaomi MiMo-V2-Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2-Flash has the lower cheapest tracked output price at $0.30/1M tokens.
- Xiaomi MiMo-V2-Flash uniquely exposes Reasoning and Function calling in local model data.
- Local decision data tags Xiaomi MiMo-V2-Flash for RAG, Agents, and Long context.
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-Flash
$155
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $368. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Qwen2-72B and Xiaomi MiMo-V2-Flash; plan for SDK, billing, or endpoint changes.
- Xiaomi MiMo-V2-Flash is $0.35/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Xiaomi MiMo-V2-Flash adds Reasoning and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2-Flash and Qwen2-72B; plan for SDK, billing, or endpoint changes.
- Qwen2-72B is $0.35/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Function calling before moving production traffic.
- Qwen2-72B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-05 | 2025-12-17 |
| Context window | 128k | 262k |
| Parameters | 72.71B | 309B |
| Architecture | decoder only | moe |
| License | Apache 2.0 | MIT |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Qwen2-72B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Input price | $0.45/1M tokens | $0.10/1M tokens |
| Output price | $0.65/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Qwen2-72B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Xiaomi MiMo-V2-Flash, function calling: Xiaomi MiMo-V2-Flash, 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.
For cost, Qwen2-72B lists $0.45/1M input and $0.65/1M output tokens on the cheapest tracked provider, while Xiaomi MiMo-V2-Flash lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Xiaomi MiMo-V2-Flash lower by about $0.35 per million blended tokens. Availability is 4 providers versus 2, so concentration risk also matters.
Choose Qwen2-72B when provider fit and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2-Flash when reasoning depth, larger context windows, and lower input-token cost 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.
FAQ
Which has a larger context window, Qwen2-72B or Xiaomi MiMo-V2-Flash?
Xiaomi MiMo-V2-Flash supports 262k 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, Qwen2-72B or Xiaomi MiMo-V2-Flash?
Xiaomi MiMo-V2-Flash is cheaper on tracked token pricing. Qwen2-72B costs $0.45/1M input and $0.65/1M output tokens. Xiaomi MiMo-V2-Flash costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Qwen2-72B or Xiaomi MiMo-V2-Flash open source?
Qwen2-72B is listed under Apache 2.0. Xiaomi MiMo-V2-Flash is listed under MIT. 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 reasoning mode, Qwen2-72B or Xiaomi MiMo-V2-Flash?
Xiaomi MiMo-V2-Flash has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Qwen2-72B or Xiaomi MiMo-V2-Flash?
Xiaomi MiMo-V2-Flash 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.
Where can I run Qwen2-72B and Xiaomi MiMo-V2-Flash?
Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. Xiaomi MiMo-V2-Flash is available on Vercel AI Gateway and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.