MiMo-V2-Pro vs Qwen3.5-9B
MiMo-V2-Pro (2026) and Qwen3.5-9B (2026) are general-purpose language models from Xiaomi and Alibaba. MiMo-V2-Pro ships a 1.05m-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, MiMo-V2-Pro ranges from $1 to $2/1M input tokens by tier; Qwen3.5-9B costs $0.10/1M input tokens. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
MiMo-V2-Pro fits 4x more tokens; pick it for long-context work and Qwen3.5-9B for tighter calls.
Decision scorecard
Local evidence first| Signal | MiMo-V2-Pro | Qwen3.5-9B |
|---|---|---|
| Best for | long-context analysis and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Long context | RAG, Agents, and Long context |
| Context window | 1.05m | 262k |
| Cheapest output | $3/1M tokens | $0.15/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags MiMo-V2-Pro for Long context.
- Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-9B uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Qwen3.5-9B 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.
MiMo-V2-Pro
$1,550
Cheapest tracked route/tier: OpenRouter
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $1,433. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-9B is $2.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-9B adds Vision, Multimodal, and Function calling in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- MiMo-V2-Pro is $2.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-18 | 2026-03-02 |
| Context window | 1.05m | 262k |
| Parameters | — | 9B |
| Architecture | - | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2024-12 | - |
Pricing and availability
| Pricing attribute | MiMo-V2-Pro | Qwen3.5-9B |
|---|---|---|
| Input price |
| $0.10/1M tokens |
| Output price |
| $0.15/1M tokens |
| Providers |
Capabilities
| Capability | MiMo-V2-Pro | Qwen3.5-9B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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: Qwen3.5-9B, multimodal input: Qwen3.5-9B, function calling: Qwen3.5-9B, tool use: Qwen3.5-9B, and structured outputs: Qwen3.5-9B. 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, MiMo-V2-Pro lists tiered pricing: 0-256,001t is $1/1M input and $3/1M output; 256,001t+ is $2/1M input and $6/1M output, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $1.48 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 2 providers versus 3, so concentration risk also matters.
Choose MiMo-V2-Pro when long-context analysis and larger context windows are central to the workload. Choose Qwen3.5-9B when vision-heavy evaluation, lower input-token cost, 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, MiMo-V2-Pro or Qwen3.5-9B?
MiMo-V2-Pro supports 1.05m tokens, while Qwen3.5-9B 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, MiMo-V2-Pro or Qwen3.5-9B?
MiMo-V2-Pro lists tiered pricing: 0-256,001t is $1/1M input and $3/1M output; 256,001t+ is $2/1M input and $6/1M output. Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is MiMo-V2-Pro or Qwen3.5-9B open source?
MiMo-V2-Pro is listed under Proprietary. Qwen3.5-9B 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 vision, MiMo-V2-Pro or Qwen3.5-9B?
Qwen3.5-9B 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, MiMo-V2-Pro or Qwen3.5-9B?
Qwen3.5-9B 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 MiMo-V2-Pro and Qwen3.5-9B?
MiMo-V2-Pro is available on OpenRouter and Vercel AI Gateway. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. 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.