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. zai-org/GLM-5.2 from zai-org lists 1M context, 131.07K maximum output, $1.40 input per 1M tokens, $4.40 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
zai-org
Hugging Face repository for Text generation.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Turbo
zai-org/GLM-5.2
Context capacity
Higher listed limit
Qwen Turbo:1M
zai-org/GLM-5.2:1M
Same value
Maximum output
Higher listed limit
Qwen Turbo:16.38K
zai-org/GLM-5.2:131.07K
zai-org/GLM-5.2
Input price
Lower listed token rate
Qwen Turbo:$0.05
zai-org/GLM-5.2:$1.40
Qwen Turbo
Output price
Lower listed token rate
Qwen Turbo:$0.20
zai-org/GLM-5.2:$4.40
Qwen Turbo
Specifications
| Specification | Qwen Turbo | zai-org/GLM-5.2 |
|---|---|---|
| Provider | Alibaba | zai-org |
| Listed pricing route | Alibaba | zai-org |
| Model family | qwen | — |
| Accepted inputs | text | text |
| Produced outputs | text | text |
| Context window | 1M | 1M |
| Max output | 16.38K | 131.07KHigher |
| Input price / 1M | $0.05Lower | $1.40 |
| Output price / 1M | $0.20Lower | $4.40 |
| 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 | Not documented |
Workload guidance
Consider Qwen Turbo if you need a lower listed input rate or a lower listed output rate. Consider zai-org/GLM-5.2 if you need 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 ↗zai-org/GLM-5.2
zai-org
Profile updated Oct 7, 2026
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