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Model comparison

GPT-5.5 vs ERNIE 4.5 300B A47B

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

Provider
OpenAI / Baidu Wenxin
global / china
Context
1M / 123K
text+image+file->text / text->text
Input price
$5.00 / $0.28
per 1M tokens
Output price
$30.00 / $1.10
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
ERNIE 4.5 300B A47B
Baidu Wenxin
FamilyERNIE
Modalitytext->text

文心代表型号之一,适合中国站品牌词与政企流量承接。

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, ERNIE 4.5 300B A47B 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.
  • ERNIE 4.5 300B A47B is worth checking first when the ERNIE family, 123K 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
  • Baidu Wenxin: ERNIE 4.5 300B A47B, ERNIE, 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。
  • ERNIE 4.5 300B A47B: 文心代表型号之一,适合中国站品牌词与政企流量承接。