Alibaba
Qwen Turbo
Qwen Turbo from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.
- Context
- 1M
- Max output
- 16.38K
- Input / 1M tokens
- $0.05
- Output / 1M tokens
- $0.20
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Qwen Turbo from Alibaba lists 1M context, 16.38K maximum output, $0.05 input per 1M tokens, $0.20 output per 1M tokens. MiMo-V2-Pro from Xiaomi lists 1.05M context, 131.07K maximum output, $0.435 input per 1M tokens, $0.87 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Alibaba
Qwen Turbo from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.
Accepts
Produces
Xiaomi
MiMo-V2-Pro from Xiaomi: Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Turbo
MiMo-V2-Pro
Context capacity
Higher listed limit
Qwen Turbo:1M
MiMo-V2-Pro:1.05M
MiMo-V2-Pro
Maximum output
Higher listed limit
Qwen Turbo:16.38K
MiMo-V2-Pro:131.07K
MiMo-V2-Pro
Input price
Lower listed token rate
Qwen Turbo:$0.05
MiMo-V2-Pro:$0.435
Qwen Turbo
Output price
Lower listed token rate
Qwen Turbo:$0.20
MiMo-V2-Pro:$0.87
Qwen Turbo
Specifications
| Specification | Qwen Turbo | MiMo-V2-Pro |
|---|---|---|
| Provider | Alibaba | Xiaomi |
| Listed pricing route | Alibaba | Xiaomi |
| Model family | qwen | mimo |
| Accepted inputs | text | text |
| Produced outputs | text | text |
| Context window | 1M | 1.05MHigher |
| Max output | 16.38K | 131.07KHigher |
| Input price / 1M | $0.05Lower | $0.435 |
| Output price / 1M | $0.20Lower | $0.87 |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Not documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Not documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider Qwen Turbo if you need a lower listed input rate or a lower listed output rate. Consider MiMo-V2-Pro if you need larger context or larger maximum output. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
Qwen Turbo
Alibaba
Profile updated Oct 13, 2026
Source registry ↗Publisher documentation ↗MiMo-V2-Pro
Xiaomi
Profile updated Oct 13, 2026
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