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Model comparison

GPT-5.5 vs Qwen3.5 Flash

Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.

Provider
OpenAI / Alibaba Cloud · Qwen
global / china
Context
1M / 1M
text+image+file->text / text->text
Input price
$5.00 / $0.065
per 1M tokens
Output price
$30.00 / $0.26
per 1M tokens
Left model
GPT-5.5
OpenAI
FamilyGPT-5.5
Modalitytext+image+file->text

当前主推旗舰模型,适合复杂推理、编码、多工具企业工作流。

Right model
Qwen3.5 Flash
Alibaba Cloud · Qwen
FamilyQwen3.5-Flash
Modalitytext->text

高性价比闪电型产品,适合规模化调用与 SaaS 场景。

Comparison summary

How to choose first

This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.

On the listed price snapshot, Qwen3.5 Flash is cheaper on combined input and output, but real routing, discounts, and limits still matter.

When context is similar, compare output quality, API stability, limits, and actually callable models first.

Decision boundary

Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.

  • GPT-5.5 is worth checking first when the GPT-5.5 family, 1M context, and text+image+file->text capability match the job.
  • Qwen3.5 Flash is worth checking first when the Qwen3.5-Flash family, 1M context, and text->text capability match the job.

Key checking route

If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.

  • OpenAI: GPT-5.5, GPT-5.5, text+image+file->text
  • Alibaba Cloud · Qwen: Qwen3.5 Flash, Qwen3.5-Flash, text->text

Commercial fit

Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.

  • GPT-5.5: 当前主推旗舰模型,适合复杂推理、编码、多工具企业工作流。
  • Qwen3.5 Flash: 高性价比闪电型产品,适合规模化调用与 SaaS 场景。