Context Window

Compare

Ft:gpt 4 1 Nano 2025 04 14 vs Gpt 5 2 Chat Latest

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

Ft:gpt 4 1 Nano 2025 04 14

Tool calling

Context window

1.0M

1,047,576 tokens · ~786K words

Model page
Openai

Model

Gpt 5 2 Chat Latest

Image inputTool calling

Context window

128K

128,000 tokens · ~96K 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.

Ft:gpt 4 1 Nano 2025 04 141.0M
Gpt 5 2 Chat Latest128K

Ft:gpt 4 1 Nano 2025 04 14 has about 8.2× the context window of the other in this pair.

Token calculator →Memory savings →

Ft:gpt 4 1 Nano 2025 04 14 has 718% more context capacity (1047K vs 128K tokens). Ft:gpt 4 1 Nano 2025 04 14 is 88% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Ft:gpt 4 1 Nano 2025 04 14. Its 1047K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Ft:gpt 4 1 Nano 2025 04 14. Input tokens are 88% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Ft:gpt 4 1 Nano 2025 04 14. Its 32K 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.

SpecFt:gpt 4 1 Nano 2025 04 14Gpt 5 2 Chat Latest
Context window1,047,576 tokens (1047K)128,000 tokens (128K)
Max output tokens32,768 tokens (32K)16,384 tokens (16K)
Speed tierFastBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/AN/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.

ProviderFt:gpt 4 1 Nano 2025 04 14 inFt:gpt 4 1 Nano 2025 04 14 outGpt 5 2 Chat Latest inGpt 5 2 Chat Latest out
Openai$0.200/M$0.800/M$1.75/M$14.00/M

Frequently asked questions

Ft:gpt 4 1 Nano 2025 04 14 has a larger context window: 1047K tokens vs 128K. 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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Use a smaller model.
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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.

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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