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. Gemini 2.0 Flash-Lite from Google lists 1.05M context, 8.19K maximum output, $0.075 input per 1M tokens, $0.30 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
Gemini 2.0 Flash-Lite from Google: Low-latency Gemini model for high-volume multimodal and agent workloads.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Turbo
Gemini 2.0 Flash-Lite
Context capacity
Higher listed limit
Qwen Turbo:1M
Gemini 2.0 Flash-Lite:1.05M
Gemini 2.0 Flash-Lite
Maximum output
Higher listed limit
Qwen Turbo:16.38K
Gemini 2.0 Flash-Lite:8.19K
Qwen Turbo
Input price
Lower listed token rate
Qwen Turbo:$0.05
Gemini 2.0 Flash-Lite:$0.075
Qwen Turbo
Output price
Lower listed token rate
Qwen Turbo:$0.20
Gemini 2.0 Flash-Lite:$0.30
Qwen Turbo
Specifications
| Specification | Qwen Turbo | Gemini 2.0 Flash-Lite |
|---|---|---|
| Provider | Alibaba | |
| Listed pricing route | Alibaba | |
| Model family | qwen | gemini-flash-lite |
| Accepted inputs | text | text, image, audio, video, pdf |
| Produced outputs | text | text |
| Context window | 1M | 1.05MHigher |
| Max output | 16.38KHigher | 8.19K |
| Input price / 1M | $0.05Lower | $0.075 |
| Output price / 1M | $0.20Lower | $0.30 |
| Reasoning mode | Documented | Not documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Documented |
| Structured output | Not documented | Documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider Qwen Turbo if you need larger maximum output or a lower listed input rate or a lower listed output rate. Consider Gemini 2.0 Flash-Lite if you need larger context. 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 ↗Gemini 2.0 Flash-Lite
Profile updated Oct 13, 2026
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