Context Window

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MiniMax M2-her vs Openai Gpt 4 1

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Minimax

Model

MiniMax M2-her

Context window

66K

65,536 tokens · ~49K words

Model page
Openai

Model

Openai Gpt 4 1

Image inputTool calling

Context window

300K

300,000 tokens · ~225K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

MiniMax M2-her66K
Openai Gpt 4 1300K

Openai Gpt 4 1 has about 4.6× the context window of the other in this pair.

Token calculator →Memory savings →

Openai Gpt 4 1 has 357% more context capacity (300K vs 65K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 4 1. Its 300K context fits entire documents without chunking (vs 65K).

  • Long output (reports, code files)

    Use Openai Gpt 4 1. Its 16K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecMiniMax M2-herOpenai Gpt 4 1
Context window65,536 tokens (65K)300,000 tokens (300K)
Max output tokens2,048 tokens (2K)16,384 tokens (16K)
Speed tierFastBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoNo
Prompt cachingYesYes
Batch APINoNo
Release dateJan 2026N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderMiniMax M2-her inMiniMax M2-her outOpenai Gpt 4 1 inOpenai Gpt 4 1 out
Snowflake——$2.00/M$8.00/M

Frequently asked questions

Openai Gpt 4 1 has a larger context window: 300K tokens vs 65K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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