Context Window

Compare

Chatgpt 4o Latest vs GPT-4

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

Chatgpt 4o Latest

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Openai

Model

GPT-4

Tool calling

Context window

8K

8,192 tokens · ~6K 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.

Chatgpt 4o Latest128K
GPT-48K

Chatgpt 4o Latest has about 15.6× the context window of the other in this pair.

Token calculator →Memory savings →

Chatgpt 4o Latest has 1462% more context capacity (128K vs 8K tokens). Chatgpt 4o Latest is 83% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Chatgpt 4o Latest. Its 128K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Chatgpt 4o Latest. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecChatgpt 4o LatestGPT-4
Context window128,000 tokens (128K)8,192 tokens (8K)
Max output tokens4,096 tokens (4K)4,096 tokens (4K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APIYesNo
Release dateN/AMay 2023

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.

ProviderChatgpt 4o Latest inChatgpt 4o Latest outGPT-4 inGPT-4 out
Azure——$30.00/M$60.00/M
Openai$5.00/M$15.00/M$30.00/M$60.00/M
Openrouter——$30.00/M$60.00/M

Frequently asked questions

Chatgpt 4o Latest has a larger context window: 128K tokens vs 8K. 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.

Calculate your savingsLearn about Mem0

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