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. LongCat-2.0 from Meituan lists 1M context, 131.07K maximum output, $0.75 input per 1M tokens, $3.00 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
Meituan
LongCat-2.0 from Meituan: Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Turbo
LongCat-2.0
Context capacity
Higher listed limit
Qwen Turbo:1M
LongCat-2.0:1M
Same value
Maximum output
Higher listed limit
Qwen Turbo:16.38K
LongCat-2.0:131.07K
LongCat-2.0
Input price
Lower listed token rate
Qwen Turbo:$0.05
LongCat-2.0:$0.75
Qwen Turbo
Output price
Lower listed token rate
Qwen Turbo:$0.20
LongCat-2.0:$3.00
Qwen Turbo
Specifications
| Specification | Qwen Turbo | LongCat-2.0 |
|---|---|---|
| Provider | Alibaba | Meituan |
| Listed pricing route | Alibaba | Meituan |
| Model family | qwen | longcat |
| Accepted inputs | text | text |
| Produced outputs | text | text |
| Context window | 1M | 1M |
| Max output | 16.38K | 131.07KHigher |
| Input price / 1M | $0.05Lower | $0.75 |
| Output price / 1M | $0.20Lower | $3.00 |
| 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 LongCat-2.0 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 ↗LongCat-2.0
Meituan
Profile updated Oct 13, 2026
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