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Model comparison

Grok 3 Mini vs ERNIE 4.5 300B A47B

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

Provider
xAI / Baidu Wenxin
global / china
Context
131.1K / 123K
text->text / text->text
Input price
$0.30 / $0.28
per 1M tokens
Output price
$0.50 / $1.10
per 1M tokens
Left model
Grok 3 Mini
xAI
FamilyGrok
Modalitytext->text

更适合高频调用和低成本试用场景。

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, Grok 3 Mini is cheaper on combined input and output, but real routing, discounts, and limits still matter.

Grok 3 Mini 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.

  • Grok 3 Mini is worth checking first when the Grok family, 131.1K context, and text->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.

  • xAI: Grok 3 Mini, Grok, text->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.

  • Grok 3 Mini: 更适合高频调用和低成本试用场景。
  • 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。