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GPT-5 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.

Openai

Model

GPT-5

Image inputTool calling

Context window

272K

272,000 tokens · ~204K 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.

GPT-5272K
Openai Gpt 4 1300K

Openai Gpt 4 1 has about 1.1× the context window of the other in this pair.

Openai Gpt 4 1 has 10% more context capacity (300K vs 272K tokens). GPT-5 is 37% cheaper on input.

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 272K).

  • RAG / high-volume retrieval

    Use GPT-5. Input tokens are 37% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT-5. Its 128K 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.

SpecGPT-5Openai Gpt 4 1
Context window272,000 tokens (272K)300,000 tokens (300K)
Max output tokens128,000 tokens (128K)16,384 tokens (16K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoNo
Release dateAug 2025N/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.

ProviderGPT-5 inGPT-5 outOpenai Gpt 4 1 inOpenai Gpt 4 1 out
Azure$1.25/M$10.00/M
Gmi$1.25/M$10.00/M
Openai$1.25/M$10.00/M
Openrouter$1.25/M$10.00/M
Replicate$1.25/M$10.00/M
Snowflake$2.00/M$8.00/M

Frequently asked questions

Openai Gpt 4 1 has a larger context window: 300K tokens vs 272K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model