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Model comparison

ERNIE 4.5 300B A47B vs ERNIE 4.5 Turbo

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

Provider
Baidu Wenxin / Baidu Wenxin
Baidu Wenxin
Context
123K / 128K
text->text / text->text
Input price
$0.28 / $0.12
per 1M tokens
Output price
$1.10 / $0.40
per 1M tokens
Left 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。

Right model
ERNIE 4.5 Turbo
Baidu Wenxin
FamilyERNIE
Modalitytext->text

适合高频问答和中国企业助手场景。

Comparison summary

How to choose first

This is an internal Baidu Wenxin comparison, so the main question is tier, cost, context, and capability rather than provider switching.

On the listed price snapshot, ERNIE 4.5 Turbo is cheaper on combined input and output, but real routing, discounts, and limits still matter.

ERNIE 4.5 Turbo 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.

  • ERNIE 4.5 300B A47B is worth checking first when the ERNIE family, 123K context, and text->text capability match the job.
  • ERNIE 4.5 Turbo is worth checking first when the ERNIE family, 128K 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.

  • Baidu Wenxin: ERNIE 4.5 300B A47B, ERNIE, text->text
  • Baidu Wenxin: ERNIE 4.5 Turbo, ERNIE, text->text

Commercial fit

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

  • 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。
  • ERNIE 4.5 Turbo: 适合高频问答和中国企业助手场景。