Alibaba
Qwen Flash
Qwen Flash from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.
- Context
- 1M
- Max output
- 32.77K
- Input / 1M tokens
- $0.05
- Output / 1M tokens
- $0.40
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 Flash from Alibaba lists 1M context, 32.77K maximum output, $0.05 input per 1M tokens, $0.40 output per 1M tokens. GPT-5.1 Codex mini from OpenAI lists 400K context, 128K maximum output, $0.25 input per 1M tokens, $2.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Alibaba
Qwen Flash from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.
Accepts
Produces
OpenAI
GPT-5.1 Codex mini from OpenAI: Coding-optimized GPT model for repository edits, reviews, and agentic software work.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen Flash
GPT-5.1 Codex mini
Context capacity
Higher listed limit
Qwen Flash:1M
GPT-5.1 Codex mini:400K
Qwen Flash
Maximum output
Higher listed limit
Qwen Flash:32.77K
GPT-5.1 Codex mini:128K
GPT-5.1 Codex mini
Input price
Lower listed token rate
Qwen Flash:$0.05
GPT-5.1 Codex mini:$0.25
Qwen Flash
Output price
Lower listed token rate
Qwen Flash:$0.40
GPT-5.1 Codex mini:$2.00
Qwen Flash
Specifications
| Specification | Qwen Flash | GPT-5.1 Codex mini |
|---|---|---|
| Provider | Alibaba | OpenAI |
| Listed pricing route | Alibaba | OpenAI |
| Model family | qwen | gpt-codex |
| Accepted inputs | text | text, image |
| Produced outputs | text | text |
| Context window | 1MHigher | 400K |
| Max output | 32.77K | 128KHigher |
| Input price / 1M | $0.05Lower | $0.25 |
| Output price / 1M | $0.40Lower | $2.00 |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider Qwen Flash if you need larger context or a lower listed input rate or a lower listed output rate. Consider GPT-5.1 Codex mini 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 Flash
Alibaba
Profile updated Oct 13, 2026
GPT-5.1 Codex mini
OpenAI
Profile updated Oct 13, 2026
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