Context Window

Compare

Gpt 4o Search Preview 2025 03 11 vs Nova Pro 1.0

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 4o Search Preview 2025 03 11

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Amazon

Model

Nova Pro 1.0

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 4o Search Preview 2025 03 11128K
Nova Pro 1.0300K

Nova Pro 1.0 has about 2.3× the context window of the other in this pair.

Token calculator →Memory savings →

Nova Pro 1.0 has 134% more context capacity (300K vs 128K tokens). Nova Pro 1.0 is 68% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nova Pro 1.0. Its 300K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Nova Pro 1.0. Input tokens are 68% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 4o Search Preview 2025 03 11. 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.

SpecGpt 4o Search Preview 2025 03 11Nova Pro 1.0
Context window128,000 tokens (128K)300,000 tokens (300K)
Max output tokens16,384 tokens (16K)10,000 tokens (10K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
Release dateN/ADec 2024

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 4o Search Preview 2025 03 11 inGpt 4o Search Preview 2025 03 11 outNova Pro 1.0 inNova Pro 1.0 out
Amazon——$0.800/M$3.20/M
Openai$2.50/M$10.00/M——

Frequently asked questions

Nova Pro 1.0 has a larger context window: 300K 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