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Model comparison

GPT-5.4 Nano vs Grok 3

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

Provider
OpenAI / xAI
global / global
Context
400K / 131.1K
text+image+file->text / text+image->text
Input price
$0.20 / $2.00
per 1M tokens
Output price
$1.25 / $10.00
per 1M tokens
Left model
GPT-5.4 Nano
OpenAI
FamilyGPT-5.4
Modalitytext+image+file->text

面向低成本高并发任务的入门位,适合分类、抽取和轻量子代理。

Right model
Grok 3
xAI
FamilyGrok
Modalitytext+image->text

旗舰品牌词入口,适合热点场景和新模型对比页。

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, GPT-5.4 Nano is cheaper on combined input and output, but real routing, discounts, and limits still matter.

GPT-5.4 Nano 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-5.4 Nano is worth checking first when the GPT-5.4 family, 400K context, and text+image+file->text capability match the job.
  • Grok 3 is worth checking first when the Grok family, 131.1K context, and text+image->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-5.4 Nano, GPT-5.4, text+image+file->text
  • xAI: Grok 3, Grok, text+image->text

Commercial fit

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

  • GPT-5.4 Nano: 面向低成本高并发任务的入门位,适合分类、抽取和轻量子代理。
  • Grok 3: 旗舰品牌词入口,适合热点场景和新模型对比页。