Context Window

Compare

GPT Chat Latest vs Nemotron 3 120b A12b

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 Chat Latest

Image inputTool calling

Context window

400K

400,000 tokens · ~300K words

Model page
Nvidia

Model

Nemotron 3 120b A12b

Tool calling

Context window

256K

256,000 tokens · ~192K 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 Chat Latest400K
Nemotron 3 120b A12b256K

GPT Chat Latest has about 1.6× the context window of the other in this pair.

Token calculator →Memory savings →

GPT Chat Latest has 56% more context capacity (400K vs 256K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT Chat Latest. Its 400K context fits entire documents without chunking (vs 256K).

  • Long output (reports, code files)

    Use Nemotron 3 120b A12b. Its 256K 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 Chat LatestNemotron 3 120b A12b
Context window400,000 tokens (400K)256,000 tokens (256K)
Max output tokens128,000 tokens (128K)256,000 tokens (256K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesNo
Batch APINoNo
Release dateMay 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.

ProviderGPT Chat Latest inGPT Chat Latest outNemotron 3 120b A12b inNemotron 3 120b A12b out
Cloudflare——$0.500/M$1.50/M

Frequently asked questions

GPT Chat Latest has a larger context window: 400K tokens vs 256K. 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