Context Window

Compare

Gpt 5 Search Api vs Meta Llama4 Scout 17b Instruct

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 Search Api

Image inputTool calling

Context window

272K

272,000 tokens · ~204K words

Model page
Meta

Model

Meta Llama4 Scout 17b Instruct

Tool 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.

Gpt 5 Search Api272K
Meta Llama4 Scout 17b Instruct128K

Gpt 5 Search Api has about 2.1× the context window of the other in this pair.

Token calculator →Memory savings →

Gpt 5 Search Api has 112% more context capacity (272K vs 128K tokens). Meta Llama4 Scout 17b Instruct is 86% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt 5 Search Api. Its 272K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Meta Llama4 Scout 17b Instruct. Input tokens are 86% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 5 Search Api. 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 5 Search ApiMeta Llama4 Scout 17b Instruct
Context window272,000 tokens (272K)128,000 tokens (128K)
Max output tokens128,000 tokens (128K)4,096 tokens (4K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
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.

ProviderGpt 5 Search Api inGpt 5 Search Api outMeta Llama4 Scout 17b Instruct inMeta Llama4 Scout 17b Instruct out
Aws Bedrock——$0.170/M$0.660/M
Openai$1.25/M$10.00/M——

Frequently asked questions

Gpt 5 Search Api has a larger context window: 272K 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.

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