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. Inkling Small from Thinkingmachines lists 1.05M context, 1.05M maximum output, $0.50 input per 1M tokens, $1.20 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
Thinkingmachines
Inkling Small from Thinkingmachines: Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Turbo
Inkling Small
Context capacity
Higher listed limit
Qwen Turbo:1M
Inkling Small:1.05M
Inkling Small
Maximum output
Higher listed limit
Qwen Turbo:16.38K
Inkling Small:1.05M
Inkling Small
Input price
Lower listed token rate
Qwen Turbo:$0.05
Inkling Small:$0.50
Qwen Turbo
Output price
Lower listed token rate
Qwen Turbo:$0.20
Inkling Small:$1.20
Qwen Turbo
Specifications
| Specification | Qwen Turbo | Inkling Small |
|---|---|---|
| Provider | Alibaba | Thinkingmachines |
| Listed pricing route | Alibaba | Thinkingmachines |
| Model family | qwen | ling |
| Accepted inputs | text | text, image, audio |
| Produced outputs | text | text |
| Context window | 1M | 1.05MHigher |
| Max output | 16.38K | 1.05MHigher |
| Input price / 1M | $0.05Lower | $0.50 |
| Output price / 1M | $0.20Lower | $1.20 |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Documented |
| Structured output | Not documented | Not documented |
| License | Proprietary | Apache-2.0 |
Workload guidance
Consider Qwen Turbo if you need a lower listed input rate or a lower listed output rate. Consider Inkling Small if you need larger context or larger maximum output. Inkling Small offers downloadable weights; Qwen Turbo is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. 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 ↗Inkling Small
Thinkingmachines
Profile updated Oct 13, 2026
Model card and weights ↗Documentation and references ↗Search by model or provider to explore another comparison.