Qwen3.5-27B vs Xiaomi MiMo-V2-Flash
Qwen3.5-27B (2026) and Xiaomi MiMo-V2-Flash (2025) are frontier-tier reasoning models from Alibaba and Xiaomi. Qwen3.5-27B ships a 262k-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 $0.20/1M 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 ~95% cheaper at $0.10/1M; pay for Qwen3.5-27B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Qwen3.5-27B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | RAG, Agents, and Long context |
| Context window | 262k | 262k |
| Cheapest output | $1.56/1M tokens | $0.30/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Qwen3.5-27B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-27B uniquely exposes Vision, Multimodal, and Tool use in local model data.
- Local decision data tags Qwen3.5-27B for RAG, Agents, and Long context.
- Xiaomi MiMo-V2-Flash has the lower cheapest tracked output price at $0.30/1M tokens.
- 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.
Qwen3.5-27B
$546
Cheapest tracked route/tier: OpenRouter
Xiaomi MiMo-V2-Flash
$155
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $391. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Novita AI; start route-level A/B tests there.
- Xiaomi MiMo-V2-Flash is $1.26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Tool use before moving production traffic.
- Provider overlap exists on Novita AI; start route-level A/B tests there.
- Qwen3.5-27B is $1.26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-27B adds Vision, Multimodal, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-24 | 2025-12-17 |
| Context window | 262k | 262k |
| Parameters | 27B | 309B |
| Architecture | decoder only | moe |
| License | Apache 2.0 | MIT |
| Knowledge cutoff | - | 2024-12 |
Pricing and availability
| Pricing attribute | Qwen3.5-27B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Input price | $0.20/1M tokens | $0.10/1M tokens |
| Output price | $1.56/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Qwen3.5-27B | Xiaomi MiMo-V2-Flash |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | 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 vision: Qwen3.5-27B, multimodal input: Qwen3.5-27B, tool use: Qwen3.5-27B, and structured outputs: Qwen3.5-27B. Both models share reasoning mode and function calling, 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, Qwen3.5-27B lists $0.20/1M input and $1.56/1M 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 $0.44 per million blended tokens. Availability is 4 providers versus 2, so concentration risk also matters.
Choose Qwen3.5-27B when vision-heavy evaluation and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2-Flash when provider fit 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, Qwen3.5-27B or Xiaomi MiMo-V2-Flash?
Qwen3.5-27B supports 262k tokens, while Xiaomi MiMo-V2-Flash supports 262k 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, Qwen3.5-27B or Xiaomi MiMo-V2-Flash?
Xiaomi MiMo-V2-Flash is cheaper on tracked token pricing. Qwen3.5-27B costs $0.20/1M input and $1.56/1M 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 Qwen3.5-27B or Xiaomi MiMo-V2-Flash open source?
Qwen3.5-27B 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 vision, Qwen3.5-27B or Xiaomi MiMo-V2-Flash?
Qwen3.5-27B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Qwen3.5-27B or Xiaomi MiMo-V2-Flash?
Qwen3.5-27B 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.
Where can I run Qwen3.5-27B and Xiaomi MiMo-V2-Flash?
Qwen3.5-27B is available on DeepInfra, OpenRouter, Alibaba Cloud PAI-EAS, and Novita AI. 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.