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Gpt 5 Search Api 2025 10 14 vs Llama V3p2 1b

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 2025 10 14

Image inputTool calling

Context window

272K

272,000 tokens · ~204K words

Model page
Meta

Model

Llama V3p2 1b

Context window

16K

16,384 tokens · ~12K 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 Api 2025 10 14272K
Llama V3p2 1b16K

Gpt 5 Search Api 2025 10 14 has about 16.6× the context window of the other in this pair.

Gpt 5 Search Api 2025 10 14 has 1560% more context capacity (272K vs 16K tokens). Llama V3p2 1b is 92% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt 5 Search Api 2025 10 14. Its 272K context fits entire documents without chunking (vs 16K).

  • RAG / high-volume retrieval

    Use Llama V3p2 1b. Input tokens are 92% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 5 Search Api 2025 10 14. 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 Api 2025 10 14Llama V3p2 1b
Context window272,000 tokens (272K)16,384 tokens (16K)
Max output tokens128,000 tokens (128K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesNo
Function callingYesNo
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 2025 10 14 inGpt 5 Search Api 2025 10 14 outLlama V3p2 1b inLlama V3p2 1b out
Fireworks$0.100/M$0.100/M
Openai$1.25/M$10.00/M

Frequently asked questions

Gpt 5 Search Api 2025 10 14 has a larger context window: 272K tokens vs 16K. 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.

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