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Model comparison

GPT-5.5 vs Hunyuan Turbo S

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

Provider
OpenAI / Tencent Hunyuan
global / china
Context
1M / 256K
text+image+file->text / text->text
Input price
$5.00 / $0.20
per 1M tokens
Output price
$30.00 / $0.80
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
Hunyuan Turbo S
Tencent Hunyuan
FamilyHunyuan
Modalitytext->text

腾讯生态里的高频企业场景入口。

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, Hunyuan Turbo S is cheaper on combined input and output, but real routing, discounts, and limits still matter.

GPT-5.5 has the larger context window, which helps with long documents, knowledge bases, logs, and multi-turn workflows.

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.
  • Hunyuan Turbo S is worth checking first when the Hunyuan family, 256K 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
  • Tencent Hunyuan: Hunyuan Turbo S, Hunyuan, 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。
  • Hunyuan Turbo S: 腾讯生态里的高频企业场景入口。