Context Window

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Gpt 4o Mini Realtime Preview 2024 12 17 vs Meta Llama3 1 70b 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 4o Mini Realtime Preview 2024 12 17

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Meta

Model

Meta Llama3 1 70b 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 4o Mini Realtime Preview 2024 12 17128K
Meta Llama3 1 70b Instruct128K

Same context window size for both models.

Token calculator →Memory savings →

Gpt 4o Mini Realtime Preview 2024 12 17 and Meta Llama3 1 70b Instruct have identical context windows (128K tokens). Gpt 4o Mini Realtime Preview 2024 12 17 is 39% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Gpt 4o Mini Realtime Preview 2024 12 17. Input tokens are 39% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 4o Mini Realtime Preview 2024 12 17. Its 4K 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 Mini Realtime Preview 2024 12 17Meta Llama3 1 70b Instruct
Context window128,000 tokens (128K)128,000 tokens (128K)
Max output tokens4,096 tokens (4K)2,048 tokens (2K)
Speed tierFastDeep
VisionNoNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
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 4o Mini Realtime Preview 2024 12 17 inGpt 4o Mini Realtime Preview 2024 12 17 outMeta Llama3 1 70b Instruct inMeta Llama3 1 70b Instruct out
Aws Bedrock——$0.990/M$0.990/M
Azure$0.660/M$2.64/M——
Openai$0.600/M$2.40/M——

Frequently asked questions

Meta Llama3 1 70b Instruct has a larger context window: 128K 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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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